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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. 2429
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    Explanations

    mentions of sports players involved in games

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "played" and its variations in the context of sporting activities

    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
    ================================================================
    -0.72
    zanne
    -0.70
    rikes
    -0.67
    iculty
    -0.66
    imb
    -0.64
    leans
    -0.64
    sav
    -0.64
    Feed
    -0.62
    ================
    -0.61
    urrencies
    -0.61
    POSITIVE LOGITS
     colleg
    1.02
     professionally
    1.02
     alongside
    0.98
     sparing
    0.95
     shortstop
    0.90
     fullback
    0.89
     basketball
    0.82
     rugby
    0.80
     football
    0.78
     beside
    0.76
    Activations Density 0.066%

    No Known Activations