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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. 8-RES-JB
    11. 11003
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    Explanations

    photographs credited in a text document

    oai_token-act-pair · gpt-3.5-turbo

    mentions of photographs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     retard
    -0.65
    stood
    -0.61
     nonviolent
    -0.61
    anus
    -0.60
     tang
    -0.60
     multipl
    -0.59
     insepar
    -0.59
     exerc
    -0.58
     tense
    -0.58
    comed
    -0.58
    POSITIVE LOGITS
     Photograph
    1.06
     Courtesy
    0.97
     ©
    0.89
    archive
    0.87
    ograph
    0.85
     Thumbnails
    0.83
    orial
    0.82
     courtesy
    0.79
     Photo
    0.79
    Phot
    0.79
    Activations Density 0.024%

    No Known Activations