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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. 10-RES-JB
    11. 12389
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    INDEX
    Explanations

    nutrition information, including calories, fat, carbohydrates, and protein content

    oai_token-act-pair · gpt-3.5-turbo

    numerical data points and statistics, particularly related to game metrics or food nutrition

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nesday
    -0.65
     warmer
    -0.62
     speeding
    -0.60
     fres
    -0.59
     distracted
    -0.57
    illon
    -0.57
     ampl
    -0.57
     warming
    -0.56
     volley
    -0.56
     rigged
    -0.56
    POSITIVE LOGITS
    ↵↵
    0.85
     Requires
    0.83
    ↵
    0.82
     (-
    0.76
    %;
    0.76
    66666666
    0.75
    <|endoftext|>
    0.75
     Avg
    0.74
    +(
    0.74
     /
    0.74
    Activations Density 0.114%

    No Known Activations