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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. 11-RES-JB
    11. 14781
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    Explanations

    phrases related to sports, specifically football, and possibly related to decision-making or reflections on past events

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to notable events or actions affecting an individual's choices or situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Ghana
    -0.87
    ugu
    -0.86
     consec
    -0.85
    aru
    -0.81
     Anglic
    -0.80
    olulu
    -0.78
    gypt
    -0.78
     CHAR
    -0.77
     Swansea
    -0.77
     Bangladesh
    -0.76
    POSITIVE LOGITS
     Miller
    2.75
    Miller
    2.73
     Mill
    1.41
     MILL
    1.11
     Mol
    1.09
    MJ
    1.07
     McGee
    1.06
     Brewers
    1.06
     Gomez
    1.05
     Pepsi
    1.04
    Activations Density 0.231%

    No Known Activations