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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
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    Explanations

    mentions of player-related content in a gaming context

    oai_token-act-pair · gpt-3.5-turbo

    instances of "player" and variations of "players" in the context of gaming

    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
     excess
    -0.69
     cod
    -0.67
     caution
    -0.67
     toler
    -0.64
     lax
    -0.63
     cos
    -0.63
     co
    -0.62
     dates
    -0.61
     curb
    -0.61
     IG
    -0.61
    POSITIVE LOGITS
    player
    3.98
    players
    2.38
    Player
    2.01
    playing
    1.44
    Players
    1.40
    PLAY
    1.40
    play
    1.38
     Player
    1.37
    plays
    1.34
     player
    1.25
    Activations Density 0.009%

    No Known Activations