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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. 3959
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    Explanations

    instances of names or references to specific legal titles or acts

    oai_token-act-pair · gpt-3.5-turbo

    references to specific legislative titles or acts

    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
    gm
    -0.75
     detachment
    -0.66
    ucl
    -0.66
     virt
    -0.65
     sten
    -0.63
     circulation
    -0.63
    ITH
    -0.63
     ears
    -0.63
     scattering
    -0.63
     connectivity
    -0.62
    POSITIVE LOGITS
    \\\\\\\\
    0.94
    title
    0.90
    itles
    0.85
    istries
    0.84
    eous
    0.83
    BUG
    0.83
    nance
    0.82
    yright
    0.82
    payer
    0.80
    ewater
    0.79
    Activations Density 0.011%

    No Known Activations