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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. 3-RES-JB
    11. 23676
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    INDEX
    Explanations

    references to specific sports organizations and events

    oai_token-act-pair · gpt-3.5-turbo

    references to UEFA and UNESCO organizations

    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
    roxy
    -0.88
    onies
    -0.77
    orne
    -0.77
    asking
    -0.76
    haar
    -0.76
    Machine
    -0.74
    tops
    -0.73
    olulu
    -0.71
    enegger
    -0.70
    thritis
    -0.69
    POSITIVE LOGITS
     Champions
    0.89
     coefficient
    0.76
     UEFA
    0.72
    ogl
    0.70
     SPORTS
    0.70
    ĨĴ
    0.69
     agre
    0.67
     sanction
    0.66
     Federation
    0.65
     referee
    0.65
    Activations Density 0.006%

    No Known Activations