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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. 7-RES-JB
    6. 15059
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    Explanations

    references to specific television shows related to law and order

    oai_token-act-pair · gpt-3.5-turbo

    references to the legal system and law enforcement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    auga
    -1.00
    hesda
    -0.86
    iliary
    -0.85
    ngth
    -0.78
    otos
    -0.72
    riks
    -0.71
    yip
    -0.70
    ovie
    -0.66
    hiba
    -0.66
    ritch
    -0.65
    POSITIVE LOGITS
    enforcement
    1.04
    abiding
    0.94
    ר
    0.76
    riage
    0.76
    clinton
    0.68
     precedent
    0.66
     Veronica
    0.65
    à¨
    0.65
    ASED
    0.64
     ACTIONS
    0.64
    Activations Density 0.286%

    No Known Activations