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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. 4-RES-JB
    11. 15739
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    Explanations

    mentions of sports-related events

    oai_token-act-pair · gpt-3.5-turbo

    terms related to competitive conflict scenarios, particularly those involving shootouts and showdowns

    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
    asus
    -0.81
    amina
    -0.80
    aum
    -0.79
    osite
    -0.79
    mental
    -0.76
    stra
    -0.75
    label
    -0.74
    Cola
    -0.73
    metic
    -0.73
    azer
    -0.73
    POSITIVE LOGITS
     shootout
    0.98
     brawl
    0.98
     showdown
    0.91
     Showdown
    0.90
    halla
    0.87
     standoff
    0.83
     duel
    0.80
     Royale
    0.75
     roy
    0.73
     rematch
    0.73
    Activations Density 0.018%

    No Known Activations