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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. 6172
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    Explanations

    text related to sports and team performance

    oai_token-act-pair · gpt-3.5-turbo

    discussions of accountability and blame in sports teams

    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
    ophon
    -0.84
    llular
    -0.82
    Explore
    -0.79
    ilib
    -0.77
    CHQ
    -0.77
    uador
    -0.76
    versible
    -0.74
    eva
    -0.74
    iless
    -0.73
    robat
    -0.72
    POSITIVE LOGITS
     fanbase
    1.42
     fandom
    1.38
     playoff
    1.33
     jerseys
    1.30
     fans
    1.30
     Fans
    1.25
     Goodell
    1.20
     Playoffs
    1.19
     LeBron
    1.17
     ESPN
    1.15
    Activations Density 0.731%

    No Known Activations