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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
    11. 10970
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    Explanations

    mentions of specific professional sports players

    oai_token-act-pair · gpt-3.5-turbo

    names of specific athletes or sports figures

    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
    SPONSORED
    -0.75
    venture
    -0.68
    Susan
    -0.67
     Feminist
    -0.66
     PBS
    -0.65
    Panel
    -0.65
    Alice
    -0.65
     Judicial
    -0.65
     directors
    -0.64
     Tara
    -0.64
    POSITIVE LOGITS
     teammate
    0.94
     teammates
    0.88
     jerseys
    0.83
    ukong
    0.82
     offensively
    0.80
     bounces
    0.80
     linem
    0.79
     coached
    0.75
     batted
    0.74
     Scouting
    0.73
    Activations Density 0.234%

    No Known Activations