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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. 10-RES-JB
    11. 12161
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    Explanations

    mentions of specific numbers and statistics

    oai_token-act-pair · gpt-3.5-turbo

    numerical data or statistics related to people and populations

    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
    Not in Any Lists

    No Comments

    Negative Logits
    âĻ¦
    -0.77
    âĦ¢:
    -0.76
    âĢ
    -0.76
    TOR
    -0.75
    -0.73
     âĪ¼
    -0.71
    *:
    -0.71
    undrum
    -0.69
    Resp
    -0.68
     âĢ
    -0.68
    POSITIVE LOGITS
     people
    0.81
     missionaries
    0.76
     alot
    0.75
     businessmen
    0.75
     everybody
    0.75
     somebody
    0.75
     newspapers
    0.74
     americ
    0.73
     afterwards
    0.70
     policemen
    0.70
    Activations Density 1.409%

    No Known Activations