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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. 4366
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    INDEX
    Explanations

    quantitative descriptions of limits or extremes

    oai_token-act-pair · gpt-3.5-turbo

    references to limits or maximums in various contexts

    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
    CT
    -0.87
     Fever
    -0.84
    bane
    -0.83
     Guys
    -0.80
    walk
    -0.77
    fle
    -0.76
    lder
    -0.73
    Ń
    -0.73
    wal
    -0.72
    pered
    -0.71
    POSITIVE LOGITS
     maximum
    1.16
     allowable
    1.09
     amount
    1.00
     extent
    1.00
     punishment
    0.94
     likelihood
    0.94
    maximum
    0.85
    nesota
    0.83
    jriwal
    0.83
     amounts
    0.83
    Activations Density 0.005%

    No Known Activations