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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. 4-RES-JB
    11. 20493
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    Explanations

    phrases or words related to images or photography

    oai_token-act-pair · gpt-3.5-turbo

    references to photos or images in the text

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

    No Comments

    Negative Logits
    stood
    -0.76
    phi
    -0.70
     assurance
    -0.67
     speech
    -0.67
    appa
    -0.67
    grass
    -0.64
    rule
    -0.63
     confidence
    -0.61
    iability
    -0.61
     whistle
    -0.60
    POSITIVE LOGITS
    PHOTOS
    1.25
     IMAGES
    1.11
     VIDEOS
    1.10
    Photos
    1.06
     Images
    1.05
    Images
    0.97
     PHOTO
    0.96
    photos
    0.95
     Photograph
    0.86
     Photographer
    0.86
    Activations Density 0.009%

    No Known Activations