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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 1-RES-JB
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    Explanations

    words related to fouling in sports

    oai_token-act-pair · gpt-3.5-turbo

    references to fouling in various contexts, particularly in sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     seizure
    -0.66
    iations
    -0.66
     injunction
    -0.65
     diploma
    -0.63
    orean
    -0.61
     Declaration
    -0.61
     Sunshine
    -0.60
     proceedings
    -0.60
    usk
    -0.60
     pilot
    -0.60
    POSITIVE LOGITS
     fou
    0.97
    rier
    0.90
    gres
    0.87
    rers
    0.84
    raph
    0.83
     Fou
    0.82
    viron
    0.79
     bour
    0.79
    gered
    0.79
    rer
    0.79
    Activations Density 0.020%

    No Known Activations