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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. 6484
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating legal or regulatory contexts

    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
     FANT
    -0.75
     Photographer
    -0.72
     fortune
    -0.71
    naissance
    -0.69
    Tes
    -0.68
    icro
    -0.67
     Passion
    -0.66
    76561
    -0.66
    fortune
    -0.64
     cereal
    -0.64
    POSITIVE LOGITS
     prohibitions
    1.47
     clause
    1.38
     statute
    1.37
     clauses
    1.35
     loophole
    1.34
     statutes
    1.33
     provisions
    1.32
     wording
    1.30
     exemptions
    1.30
     Clause
    1.30
    Activations Density 1.033%

    No Known Activations