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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. 3-RES-JB
    11. 15648
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    mentions of promotional or discount codes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Ples
    -0.78
    swer
    -0.77
    strous
    -0.75
     Flavoring
    -0.73
    sbm
    -0.71
    quished
    -0.71
    innie
    -0.68
    iatus
    -0.68
     Democr
    -0.67
    esville
    -0.67
    POSITIVE LOGITS
     codes
    1.11
    codes
    1.09
    code
    1.01
     code
    0.95
     snippet
    0.88
     coded
    0.87
     Codes
    0.81
    mable
    0.80
    otle
    0.80
     Code
    0.75
    Activations Density 0.016%

    No Known Activations