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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. 572
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    Explanations

    mentions of specific sports teams and their opponents

    oai_token-act-pair · gpt-3.5-turbo

    mentions of teams or entities associated with sports

    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
    SPONSORED
    -0.82
    cause
    -0.73
    女
    -0.72
    ategory
    -0.71
    aum
    -0.68
    NetMessage
    -0.67
    soType
    -0.66
    soDeliveryDate
    -0.66
    bnb
    -0.65
    ayne
    -0.65
    POSITIVE LOGITS
     lowly
    1.19
     Buccaneers
    1.10
     Cardinals
    1.10
     Jaguars
    1.09
     Giants
    1.07
     Panthers
    1.07
     Chargers
    1.07
     Clippers
    1.06
     Jets
    1.06
     Islanders
    1.05
    Activations Density 0.082%

    No Known Activations