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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. 16689
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    INDEX
    Explanations

    mentions of cameras in technical descriptions or specifications

    oai_token-act-pair · gpt-3.5-turbo

    references to cameras and their specifications in the document

    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
    emonic
    -0.90
    heit
    -0.83
    isode
    -0.80
    hee
    -0.79
    ensical
    -0.78
    sted
    -0.77
    ership
    -0.75
    bek
    -0.75
    erest
    -0.74
    stad
    -0.73
    POSITIVE LOGITS
     Nikon
    0.86
     Camer
    0.83
     JPEG
    0.75
     shutter
    0.75
     Mehran
    0.75
     tripod
    0.75
     Booth
    0.73
    Capture
    0.73
     adapter
    0.72
     Camera
    0.72
    Activations Density 0.013%

    No Known Activations