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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. 7-RES-JB
    11. 20741
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    Explanations

    phrases indicating an extreme or critical degree of something

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing extremes or limits

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rounder
    -0.79
     Frames
    -0.64
    annis
    -0.61
    ellow
    -0.59
     peeled
    -0.58
    avorite
    -0.58
     Mush
    -0.58
     Chandra
    -0.57
     Corpus
    -0.56
     batted
    -0.56
    POSITIVE LOGITS
     extent
    0.81
    iculty
    0.76
    oples
    0.75
    liest
    0.73
     absurdity
    0.73
    lessness
    0.69
    olicy
    0.69
     approximation
    0.68
     brink
    0.67
    yll
    0.66
    Activations Density 0.040%

    No Known Activations