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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. 10951
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    Explanations

    keywords related to photography and camera technology

    oai_token-act-pair · gpt-3.5-turbo

    references to photographic technology and processes

    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
    Interstitial
    -0.80
    uyomi
    -0.71
     Cheese
    -0.69
     Rutherford
    -0.68
    uliffe
    -0.68
    awaru
    -0.67
     Civic
    -0.67
    undle
    -0.67
     Forbidden
    -0.66
    oldemort
    -0.65
    POSITIVE LOGITS
     phot
    1.13
    oshop
    1.08
    ographs
    1.02
     Phot
    0.99
    ocard
    0.95
    photos
    0.94
    oreal
    0.91
    osh
    0.87
    ograph
    0.87
    ograp
    0.85
    Activations Density 0.010%

    No Known Activations