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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. 3012
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    Explanations

    words related to legal proceedings

    oai_token-act-pair · gpt-3.5-turbo

    repeated phrases or commas indicating lists or clauses

    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
    olid
    -0.72
    olo
    -0.70
    fred
    -0.68
    oslav
    -0.68
    igl
    -0.65
    cience
    -0.62
    astics
    -0.61
    lé
    -0.60
    eln
    -0.60
     bodies
    -0.59
    POSITIVE LOGITS
     namely
    1.26
     albeit
    1.17
     viz
    1.00
     however
    0.95
     though
    0.87
    albeit
    0.83
     comprising
    0.80
     although
    0.77
     consisting
    0.77
     according
    0.73
    Activations Density 0.340%

    No Known Activations