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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. 4-RES-JB
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    Explanations

    sports team names, specifically focusing on baseball teams

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific baseball teams

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

    No Comments

    Negative Logits
    iencies
    -0.81
    ë
    -0.79
    uters
    -0.72
    ounced
    -0.70
    antly
    -0.69
    iaries
    -0.69
    ence
    -0.67
    î
    -0.66
    tops
    -0.66
    ivably
    -0.65
    POSITIVE LOGITS
     pitcher
    0.93
     Baseball
    0.88
     shortstop
    0.85
    BIP
    0.83
     outfielder
    0.83
     pitchers
    0.83
     bullpen
    0.82
     reliever
    0.82
     baseball
    0.81
     prospect
    0.80
    Activations Density 0.020%

    No Known Activations