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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. 11-RES-JB
    11. 11559
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    Explanations

    mentions of teamwork and player performance in a sports context

    oai_token-act-pair · gpt-3.5-turbo

    discussions about team dynamics and player roles in a game context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atom
    -0.79
     Martha
    -0.68
    Bloomberg
    -0.67
    uphem
    -0.63
    renheit
    -0.62
    utterstock
    -0.61
    PDF
    -0.60
    Federal
    -0.60
     HuffPost
    -0.59
     Pamela
    -0.59
    POSITIVE LOGITS
    Players
    1.48
     players
    1.45
     Players
    1.44
     player
    1.44
    players
    1.41
     Player
    1.30
     teammates
    1.26
    Player
    1.23
     Fnatic
    1.23
     Protoss
    1.23
    Activations Density 0.756%

    No Known Activations