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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. 13001
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    Explanations

    references to photographs or images

    oai_token-act-pair · gpt-3.5-turbo

    frequent mentions of photos

    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
    Mand
    -0.75
    ressive
    -0.73
    merce
    -0.71
    cffff
    -0.70
    ensable
    -0.70
    bilt
    -0.68
    ilege
    -0.67
    inion
    -0.66
    ught
    -0.64
    vil
    -0.64
    POSITIVE LOGITS
    ynthesis
    1.35
    photos
    1.18
    ynt
    1.13
     photos
    1.12
     pics
    1.04
     photographs
    1.03
     photographed
    1.01
    Photos
    0.97
     pictures
    0.91
    ensitive
    0.90
    Activations Density 0.013%

    No Known Activations