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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. 2658
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    Explanations

    mentions or descriptions of images or photographs

    oai_token-act-pair · gpt-3.5-turbo

    references to images or pictures in the text

    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
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    Negative Logits
    iencies
    -0.89
    iott
    -0.84
    aughs
    -0.82
    ible
    -0.79
    orne
    -0.78
    iant
    -0.77
    bard
    -0.73
    endez
    -0.73
    onite
    -0.72
    vernment
    -0.72
    POSITIVE LOGITS
    picture
    0.96
     depicting
    0.88
    que
    0.85
     gallery
    0.84
     galleries
    0.82
    clip
    0.80
     flashed
    0.80
     flashes
    0.79
     img
    0.78
     painted
    0.76
    Activations Density 0.042%

    No Known Activations