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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. 3-RES-JB
    11. 5878
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    Explanations

    image descriptions and captions

    oai_token-act-pair · gpt-3.5-turbo

    references to images and visuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    haus
    -0.81
    iens
    -0.79
    merce
    -0.77
    onite
    -0.76
    die
    -0.76
    dies
    -0.74
    lies
    -0.72
    ugs
    -0.70
    endo
    -0.70
    cot
    -0.69
    POSITIVE LOGITS
     caption
    1.07
     Courtesy
    0.95
     screenshot
    0.93
     IMAGES
    0.92
     Transcript
    0.82
     thumbnail
    0.81
     Thumbnails
    0.80
     gallery
    0.79
     photograph
    0.78
     toggle
    0.78
    Activations Density 0.040%

    No Known Activations