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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. 23303
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    Explanations

    references related to specific university and location names

    oai_token-act-pair · gpt-3.5-turbo

    mentions of universities and colleges

    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
    maker
    -0.81
     Noir
    -0.72
    makers
    -0.70
    lets
    -0.65
    ãĤº
    -0.63
     ILCS
    -0.63
    tons
    -0.62
    achi
    -0.62
     Ivory
    -0.60
    blocks
    -0.60
    POSITIVE LOGITS
    IG
    1.00
    FI
    0.94
    ITY
    0.91
    PDATE
    0.91
    IL
    0.90
    YA
    0.89
    ILD
    0.89
    JA
    0.89
    FO
    0.89
    WT
    0.89
    Activations Density 0.012%

    No Known Activations