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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 8056
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    INDEX
    Explanations

    words related to player actions or attributes in a gaming context

    oai_token-act-pair · gpt-3.5-turbo

    references to game players and their interactions

    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
    ories
    -0.80
    DonaldTrump
    -0.74
    een
    -0.70
    rite
    -0.66
    icals
    -0.66
    enberg
    -0.63
    ksh
    -0.63
     Downs
    -0.63
    ournal
    -0.62
    ynski
    -0.60
    POSITIVE LOGITS
    Unknown
    1.01
    base
    1.01
    Players
    0.83
    PLAY
    0.83
    players
    0.82
    player
    0.81
    testing
    0.80
     Characters
    0.78
    unknown
    0.77
     avatar
    0.76
    Activations Density 0.050%

    No Known Activations