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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. 4746
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    Explanations

    positions in sports lineups

    oai_token-act-pair · gpt-3.5-turbo

    terms related to player positions in sports

    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
    Eat
    -0.71
    wcsstore
    -0.70
    nces
    -0.69
    ulously
    -0.68
    otle
    -0.67
     Nasa
    -0.67
     Garc
    -0.64
     Transportation
    -0.64
    staking
    -0.64
     Ride
    -0.62
    POSITIVE LOGITS
     fielder
    1.31
     tackle
    1.16
     winger
    1.08
     fullback
    1.04
    hander
    1.02
     cornerback
    0.97
     wing
    0.96
     flank
    0.93
    overs
    0.92
     Tackle
    0.92
    Activations Density 0.049%

    No Known Activations