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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. 10-RES-JB
    11. 13868
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    Explanations

    words related to positions and rounds in sports drafts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to sports draft selections and player rankings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Shutterstock
    -0.87
     Advertising
    -0.65
     Kimmel
    -0.64
    ":[
    -0.62
     Wikimedia
    -0.61
    ITNESS
    -0.61
     autonom
    -0.59
     Ai
    -0.59
     Canaver
    -0.59
     Rath
    -0.59
    POSITIVE LOGITS
     baseman
    1.11
     pick
    0.97
    round
    0.89
    rounder
    0.89
     picks
    0.85
    pick
    0.85
     selections
    0.83
    team
    0.82
     selection
    0.82
     tier
    0.82
    Activations Density 0.090%

    No Known Activations