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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 1319
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    Explanations

    legal terms or actions related to legal proceedings

    oai_token-act-pair · gpt-3.5-turbo

    references to legal motions or procedural actions in a legal context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aez
    -0.83
    oys
    -0.71
    rosso
    -0.70
    obin
    -0.70
    ============
    -0.68
    é¾įå
    -0.68
    angers
    -0.68
    addy
    -0.68
    nect
    -0.67
    aps
    -0.65
    POSITIVE LOGITS
     motion
    1.54
     motions
    1.34
    motion
    1.29
     Motion
    1.27
    Motion
    1.07
     sickness
    0.89
     blur
    0.84
     movement
    0.76
    ngth
    0.74
     jerk
    0.73
    Activations Density 0.007%

    No Known Activations