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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. 11-RES-JB
    11. 21657
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    INDEX
    Explanations

    mentions of cycling tours and races

    oai_token-act-pair · gpt-3.5-turbo

    references to the Tour de France and achievements in cycling

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arial
    -0.80
    iple
    -0.80
    CAP
    -0.79
    ufact
    -0.74
    SpaceEngineers
    -0.73
    yip
    -0.71
    ibrary
    -0.71
    acters
    -0.70
    abbage
    -0.69
     Doodle
    -0.68
    POSITIVE LOGITS
     endurance
    0.89
     cycling
    0.88
     doping
    0.87
     Cycling
    0.85
     contenders
    0.84
    oton
    0.84
     sprint
    0.83
     rider
    0.82
     racer
    0.82
     downhill
    0.81
    Activations Density 0.087%

    No Known Activations