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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. 0-RES-JB
    11. 13743
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    Explanations

    references to sports teams

    oai_token-act-pair · gpt-3.5-turbo

    mentions of teams and their dynamics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SPONSORED
    -0.76
    Pg
    -0.74
    anism
    -0.73
     Gutenberg
    -0.69
    CHAPTER
    -0.68
    heit
    -0.67
     Twain
    -0.66
    amazon
    -0.64
    agog
    -0.63
    DonaldTrump
    -0.63
    POSITIVE LOGITS
     team
    3.50
    team
    2.82
     teams
    2.52
    Team
    2.50
     Team
    2.46
     TEAM
    2.33
     Teams
    2.05
     squad
    1.90
     teammates
    1.85
     teammate
    1.73
    Activations Density 0.047%

    No Known Activations