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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. 1636
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    Explanations

    technical specifications related to camera equipment

    oai_token-act-pair · gpt-3.5-turbo

    numerical specifications and technical details related to camera features

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    #$#$
    -0.86
    weed
    -0.83
    ickets
    -0.78
     Archdemon
    -0.75
    ratom
    -0.75
    worms
    -0.71
    Struct
    -0.71
    bush
    -0.71
    ucl
    -0.70
    eering
    -0.70
    POSITIVE LOGITS
     aperture
    1.16
     lens
    1.05
     Leica
    1.03
     lenses
    0.90
     tilt
    0.89
     angled
    0.88
     Lens
    0.87
     Nikon
    0.87
    perture
    0.86
     magnification
    0.85
    Activations Density 0.092%

    No Known Activations