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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. 6302
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    Explanations

    statistics related to football games

    oai_token-act-pair · gpt-3.5-turbo

    statistical data related to sports performance metrics

    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
    catentry
    -0.78
     econom
    -0.76
    henko
    -0.67
     MLG
    -0.64
    bots
    -0.64
    drm
    -0.63
    lyak
    -0.63
     Alz
    -0.63
     Econom
    -0.63
     Agreement
    -0.62
    POSITIVE LOGITS
     touchdowns
    1.34
     touchdown
    1.33
     TDs
    1.15
     yards
    1.14
     receptions
    1.03
     rushing
    1.01
     kickoff
    1.00
     interception
    0.95
     rusher
    0.93
     TD
    0.92
    Activations Density 0.107%

    No Known Activations