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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. 1-RES-JB
    11. 7446
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    Explanations

    phrases describing specific occurrences or examples

    oai_token-act-pair · gpt-3.5-turbo

    references to occurrences or events described as "instances."

    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
    aceous
    -0.78
    ramid
    -0.78
    eday
    -0.78
    ather
    -0.76
    ixed
    -0.73
    sett
    -0.73
    jri
    -0.73
    price
    -0.73
    yright
    -0.72
    irst
    -0.71
    POSITIVE LOGITS
     instances
    1.25
    wcsstore
    0.96
    uations
    0.84
     instance
    0.83
     Flask
    0.80
     cases
    0.79
     occurrences
    0.78
     Gladiator
    0.75
     Outbreak
    0.71
     Clicker
    0.69
    Activations Density 0.006%

    No Known Activations