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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. 19607
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    Explanations

    words related to survey results and statistics

    oai_token-act-pair · gpt-3.5-turbo

    words related to polling and survey results

    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
    Not in Any Lists

    No Comments

    Negative Logits
    inventoryQuantity
    -0.82
     sidx
    -0.82
    ivas
    -0.78
    ascus
    -0.75
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.72
     incarn
    -0.66
    è»
    -0.66
    EEE
    -0.66
    nai
    -0.66
    !/
    -0.66
    POSITIVE LOGITS
     majorities
    0.86
     widespread
    0.78
     that
    0.77
     median
    0.76
     otherwise
    0.73
     Australians
    0.73
     disparities
    0.71
     Asians
    0.70
     Canadians
    0.68
     Americans
    0.67
    Activations Density 0.105%

    No Known Activations