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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. 3-RES-JB
    11. 8363
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    Explanations

    terms related to legal proceedings, particularly those involving a grand jury

    oai_token-act-pair · gpt-3.5-turbo

    references to juries and related legal contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     inver
    -0.69
     Lov
    -0.66
    prus
    -0.63
     LW
    -0.62
    ilater
    -0.61
     flares
    -0.59
     comet
    -0.58
     hardness
    -0.58
     porous
    -0.58
     friction
    -0.57
    POSITIVE LOGITS
    eer
    0.83
    eering
    0.82
    eers
    0.78
    Dad
    0.70
    steen
    0.69
     Prix
    0.68
    Dutch
    0.67
    Grand
    0.65
     Riding
    0.65
    Appearances
    0.64
    Activations Density 0.132%

    No Known Activations