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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. 13965
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    Explanations

    repeated references to injuries in sports

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to sports injuries and their impacts on players

    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
     laure
    -0.68
     descendants
    -0.68
    eton
    -0.65
    itarian
    -0.65
     filib
    -0.64
    coins
    -0.64
     granddaughter
    -0.64
     laureate
    -0.64
    ITNESS
    -0.63
     alt
    -0.62
    POSITIVE LOGITS
     offseason
    1.05
     preseason
    1.04
     season
    1.04
     injury
    0.97
     playoffs
    0.97
     rehab
    0.96
     postseason
    0.95
    olphins
    0.91
     AHL
    0.88
     seasons
    0.86
    Activations Density 0.265%

    No Known Activations