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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 4-RES-JB
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    Explanations

    mentions of the sports team "Panthers" and related phrases

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Panthers, particularly referring to a sports team context

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

    No Comments

    Negative Logits
    clinton
    -0.74
    DonaldTrump
    -0.73
    step
    -0.73
    dit
    -0.72
    iannopoulos
    -0.71
    odynam
    -0.68
    ploma
    -0.68
    edited
    -0.66
    ADRA
    -0.65
     causation
    -0.64
    POSITIVE LOGITS
     Panthers
    1.08
     Hurricanes
    1.03
     Panther
    0.97
    sburg
    0.81
    sburgh
    0.80
    olina
    0.74
     Coliseum
    0.73
    icum
    0.72
     Predators
    0.71
     Nost
    0.70
    Activations Density 0.012%

    No Known Activations