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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 22721
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to quantities and descriptions of elements in a technical or instructional context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    usk
    -0.83
    acus
    -0.81
    aeus
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    hirt
    -0.78
    iatus
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    åħī
    -0.76
    ylum
    -0.75
    anse
    -0.75
    uca
    -0.74
    ansas
    -0.74
    POSITIVE LOGITS
     optimizations
    1.61
     functions
    1.54
     parameters
    1.47
     dependencies
    1.46
     modifications
    1.44
     plugins
    1.44
     variables
    1.43
     commands
    1.43
     settings
    1.39
     tricks
    1.39
    Activations Density 0.253%

    No Known Activations