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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. 10-RES-JB
    6. 13304
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    INDEX
    Explanations

    names of specific judicial figures and related legal terms

    oai_token-act-pair · gpt-3.5-turbo

    mentions of justices 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 @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    orama
    -0.73
    unity
    -0.72
    ç
    -0.71
    bsite
    -0.69
     Mayhem
    -0.68
     destro
    -0.65
    yrinth
    -0.65
    andals
    -0.64
    egu
    -0.64
    gotten
    -0.63
    POSITIVE LOGITS
     Scalia
    1.33
     Gins
    1.08
     justices
    1.00
     Sonia
    0.97
     dissenting
    0.96
     dissent
    0.91
    otom
    0.88
    Jud
    0.87
     Brennan
    0.87
     Elena
    0.85
    Activations Density 0.070%

    No Known Activations