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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. 3-RES-JB
    6. 21677
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    Explanations

    terms related to American football, including its organization, games, and related events

    oai_token-act-pair · gpt-3.5-turbo

    references to college football and related events

    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
    alin
    -0.82
    onyms
    -0.75
    otom
    -0.71
    Sov
    -0.70
    oeuv
    -0.68
    apse
    -0.67
    åĬ
    -0.64
     Ples
    -0.63
    orr
    -0.63
    emonic
    -0.63
    POSITIVE LOGITS
    interstitial
    0.98
     stadiums
    0.94
     Playoff
    0.87
    BALL
    0.85
     Madden
    0.85
     Basketball
    0.83
    iseum
    0.82
    adium
    0.80
     Baseball
    0.80
     football
    0.80
    Activations Density 0.352%

    No Known Activations