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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 1-RES-JB
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    Explanations

    phrases related to sports, specifically about the Warriors basketball team

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Warriors basketball team

    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
    sole
    -0.73
    orate
    -0.69
    orship
    -0.69
    verified
    -0.67
    pard
    -0.67
    isle
    -0.65
    akeru
    -0.64
    unal
    -0.63
    alien
    -0.63
    mble
    -0.63
    POSITIVE LOGITS
    riors
    1.31
     Warriors
    1.19
    mania
    0.86
    Boss
    0.74
    Kings
    0.73
    ahs
    0.73
    Sharp
    0.73
     Bros
    0.73
    rats
    0.73
     Oro
    0.72
    Activations Density 0.007%

    No Known Activations