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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 3661
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    Explanations

    numerical information related to accounting or distribution

    oai_token-act-pair · gpt-3.5-turbo

    terms related to accounting and numerical representation in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     encountering
    -0.68
     cour
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    ventory
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     searching
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     discovering
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     learning
    -0.57
     livest
    -0.57
    cher
    -0.55
    ilet
    -0.55
     dialog
    -0.55
    POSITIVE LOGITS
    ancy
    0.93
    arily
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    enance
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    ioned
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    inally
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    ants
    0.83
    istically
    0.81
    antly
    0.78
    ificantly
    0.75
    alled
    0.75
    Activations Density 0.059%

    No Known Activations