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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
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    Explanations

    references to photographs

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "Photograph" and its variations

    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
    Not in Any Lists

    No Comments

    Negative Logits
    rology
    -0.71
    road
    -0.68
     hearing
    -0.68
    ammy
    -0.67
    comed
    -0.66
    ften
    -0.65
    anc
    -0.65
    PU
    -0.64
     retard
    -0.64
    incarn
    -0.63
    POSITIVE LOGITS
     Photograph
    1.32
     Thumbnails
    1.07
    ographs
    1.03
     Photographer
    0.99
    ograph
    0.94
     Photo
    0.89
     PHOTO
    0.89
    ograms
    0.89
    ynthesis
    0.88
    Images
    0.87
    Activations Density 0.004%

    No Known Activations