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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. 8-RES-JB
    11. 14350
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    Explanations

    legal case names with associated parties

    oai_token-act-pair · gpt-3.5-turbo

    references to legal cases and court decisions

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    ahime
    -0.98
    wcs
    -0.91
    behind
    -0.77
    anwhile
    -0.76
    ruary
    -0.74
    staking
    -0.73
     enthusi
    -0.71
    cipline
    -0.70
    kered
    -0.70
    isans
    -0.70
    POSITIVE LOGITS
     supra
    0.89
     McGee
    0.83
     Lynch
    0.79
     Gore
    0.79
     Olsen
    0.78
     Olson
    0.74
     Doe
    0.74
     Commonwealth
    0.72
     Dull
    0.72
     Thompson
    0.71
    Activations Density 0.032%

    No Known Activations