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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. 9-RES-JB
    11. 2477
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    Explanations

    references to camera lenses

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lly
    -0.79
    onge
    -0.73
    hee
    -0.70
    alions
    -0.68
    currency
    -0.67
     quo
    -0.67
    mson
    -0.65
    hurst
    -0.64
    lishes
    -0.64
    ccoli
    -0.63
    POSITIVE LOGITS
     lens
    1.07
     flares
    1.03
     lenses
    1.02
     Lens
    1.00
     Nikon
    0.95
    Lens
    0.89
     flare
    0.88
     photographers
    0.86
     shutter
    0.86
     Leica
    0.85
    Activations Density 0.075%

    No Known Activations