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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. 14018
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    Explanations

    measurements of distance, specifically in meters

    oai_token-act-pair · gpt-3.5-turbo

    references to measurements and distances

    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
    udeb
    -0.77
    Kings
    -0.70
    icer
    -0.70
    eer
    -0.68
    ggies
    -0.67
    =-=-=-=-=-=-=-=-
    -0.66
    \\\\\\\\
    -0.64
    effects
    -0.64
    mingham
    -0.63
    BAT
    -0.62
    POSITIVE LOGITS
     diameter
    1.14
     tall
    1.03
     radius
    0.99
     squared
    0.97
     distance
    0.97
    imet
    0.94
     (~
    0.92
     circumference
    0.90
     thick
    0.87
     horizontally
    0.86
    Activations Density 0.040%

    No Known Activations