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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. 3-RES-JB
    11. 4753
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    Explanations

    mentions of sports players

    oai_token-act-pair · gpt-3.5-turbo

    references to players in a sports context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ories
    -0.93
     Brow
    -0.65
    Operation
    -0.65
    obia
    -0.65
    yss
    -0.65
    nce
    -0.64
     Belt
    -0.63
    utterstock
    -0.63
    ory
    -0.63
    ĺħ
    -0.62
    POSITIVE LOGITS
     players
    0.86
    players
    0.85
    wagen
    0.83
    士
    0.83
     jerseys
    0.81
     rosters
    0.81
    */(
    0.78
    player
    0.78
     rookies
    0.77
     scouts
    0.76
    Activations Density 0.047%

    No Known Activations