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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. 9-RES-JB
    11. 16240
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    Explanations

    information related to sports drafts, picking, and selections

    oai_token-act-pair · gpt-3.5-turbo

    information related to sports drafts and player selections

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    interrupted
    -0.74
     intermitt
    -0.64
     coping
    -0.63
     distract
    -0.62
     lapt
    -0.61
     interrupted
    -0.60
     inconven
    -0.60
    stood
    -0.59
     Siren
    -0.59
     distracting
    -0.59
    POSITIVE LOGITS
    Draft
    1.02
     lottery
    1.00
     draft
    0.95
    rafted
    0.83
     Draft
    0.80
     pick
    0.76
     prospect
    0.75
     selection
    0.73
    Pick
    0.72
     picks
    0.70
    Activations Density 0.141%

    No Known Activations