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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. 24038
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    Explanations

    phrases related to sports matches and results

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating competition or match outcomes in sports contexts

    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
    inventory
    -0.94
    erred
    -0.85
    Enlarge
    -0.85
    itures
    -0.80
    pmwiki
    -0.78
    ffe
    -0.77
    aund
    -0.75
    ersive
    -0.75
    natureconservancy
    -0.74
    attribute
    -0.74
    POSITIVE LOGITS
     lowly
    1.20
     eventual
    1.07
     perennial
    1.01
     reigning
    0.96
     rival
    0.95
     unbeaten
    0.94
     Syracuse
    0.93
     relegation
    0.93
     Minnesota
    0.93
     Pittsburgh
    0.93
    Activations Density 0.098%

    No Known Activations