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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. 6-RES-JB
    11. 23704
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    INDEX
    Explanations

    names of cycling events and related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to specific cycling events or competitions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ername
    -0.83
    reve
    -0.78
    lishes
    -0.76
    holes
    -0.75
     Barron
    -0.74
    psons
    -0.72
    ipment
    -0.72
    ogyn
    -0.71
    reements
    -0.70
    abbage
    -0.69
    POSITIVE LOGITS
     cycling
    0.98
     doping
    0.94
     sprint
    0.92
     Cycling
    0.92
     BMC
    0.88
     rider
    0.87
     Racing
    0.85
     Races
    0.85
     tyre
    0.82
     Pharma
    0.80
    Activations Density 0.151%

    No Known Activations