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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. 2-RES-JB
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    Explanations

    references to the NBA team "Warriors," particularly players, actions, and team-related terms

    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 @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sole
    -0.76
    orate
    -0.71
    akeru
    -0.70
    ologue
    -0.68
    orship
    -0.67
    alties
    -0.65
    ocent
    -0.65
    angible
    -0.64
    isle
    -0.64
    orable
    -0.64
    POSITIVE LOGITS
    riors
    1.17
     Warriors
    1.00
    mania
    0.91
     Bros
    0.75
     Balls
    0.73
    Sharp
    0.73
    Mania
    0.73
    zag
    0.72
     Oro
    0.71
     Awakens
    0.70
    Activations Density 0.010%

    No Known Activations