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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. 7-RES-JB
    11. 6409
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    Explanations

    actions related to sports performance

    oai_token-act-pair · gpt-3.5-turbo

    key actions related to sports performance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Enlarge
    -0.80
    thur
    -0.67
    esan
    -0.65
     Layer
    -0.65
    inyl
    -0.64
     branding
    -0.64
    sylv
    -0.64
    Appearance
    -0.62
    DragonMagazine
    -0.61
    mining
    -0.61
    POSITIVE LOGITS
     teammate
    0.93
     clutch
    0.84
     scrimmage
    0.83
     interceptions
    0.81
     punt
    0.80
     himself
    0.80
     teammates
    0.79
     fullback
    0.77
     rookie
    0.77
     turnovers
    0.76
    Activations Density 0.192%

    No Known Activations