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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. 14367
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    Explanations

    instances of conversion or transformed objects

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the process of conversion or transformation

    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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    Negative Logits
    accompan
    -0.80
    llah
    -0.77
    andr
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     Administration
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    clips
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    luster
    -0.65
     Anthem
    -0.64
     Passage
    -0.62
     Echoes
    -0.62
    awi
    -0.61
    POSITIVE LOGITS
    ibles
    1.09
    verted
    0.79
    ibility
    0.79
     into
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    itionally
    0.77
    IBLE
    0.74
    ãĥĥ
    0.74
    ible
    0.72
    itional
    0.72
    itably
    0.71
    Activations Density 0.049%

    No Known Activations