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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. 2-RES-JB
    11. 19500
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    Explanations

    names of individuals related to sports

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    phas
    -0.83
    ifts
    -0.74
    hesda
    -0.74
    ibli
    -0.74
    alogue
    -0.72
    AFTA
    -0.72
    riet
    -0.71
    ã
    -0.69
    untu
    -0.69
    atari
    -0.69
    POSITIVE LOGITS
     Rollins
    0.86
     Brewer
    0.80
    gren
    0.79
     Alley
    0.77
     partName
    0.68
     Krug
    0.67
    mberg
    0.67
     Dickinson
    0.67
     Rosenthal
    0.66
     Westbrook
    0.66
    Activations Density 0.023%

    No Known Activations