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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. 6-RES-JB
    11. 13722
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    Explanations

    JavaScript files with high activations

    oai_token-act-pair · gpt-3.5-turbo

    references to JavaScript files and modules

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lain
    -0.77
     Staples
    -0.74
     Fukushima
    -0.68
     Soviets
    -0.67
     Sinclair
    -0.64
     Cheong
    -0.62
    liest
    -0.61
     pressures
    -0.61
    places
    -0.61
     Kubrick
    -0.60
    POSITIVE LOGITS
    ullivan
    1.20
    uration
    1.02
    opher
    0.90
    inx
    0.89
    ESSION
    0.88
    ession
    0.86
    avascript
    0.84
    ophers
    0.84
    ocket
    0.81
    ames
    0.80
    Activations Density 0.017%

    No Known Activations