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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. 6-RES-JB
    11. 3754
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    Explanations

    terms related to sports teams and players

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and terms associated with sports, particularly soccer

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Madison
    -0.76
    packing
    -0.75
    pa
    -0.72
    Streamer
    -0.72
    Walker
    -0.70
    izable
    -0.70
    hog
    -0.68
    leigh
    -0.66
    iland
    -0.66
    buck
    -0.65
    POSITIVE LOGITS
    orius
    0.86
    ivity
    0.83
    enance
    0.82
    Ú
    0.79
    urations
    0.77
    eus
    0.73
    eday
    0.72
    ogram
    0.70
    hetically
    0.69
    liction
    0.68
    Activations Density 0.060%

    No Known Activations