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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. 1-RES-JB
    11. 2536
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    INDEX
    Explanations

    mentions of "players" with a value of 9 or 10

    oai_token-act-pair · gpt-3.5-turbo

    references to players in a sporting or gaming context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ories
    -0.93
    ¿½
    -0.76
    nce
    -0.73
    ournal
    -0.68
    orship
    -0.66
    ľ
    -0.63
    enthal
    -0.63
    yss
    -0.62
    nces
    -0.61
     Shore
    -0.61
    POSITIVE LOGITS
    players
    1.10
     players
    0.98
    Players
    0.97
    wagen
    0.92
    player
    0.91
     enthusi
    0.88
     contrace
    0.88
     Players
    0.83
    */(
    0.82
    hei
    0.74
    Activations Density 0.030%

    No Known Activations