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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. 9-RES-JB
    6. 19005
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    INDEX
    Explanations

    mentions of legal or criminal activities

    oai_token-act-pair · gpt-3.5-turbo

    details related to arrests and legal proceedings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    dust
    -0.75
    river
    -0.68
     Doodle
    -0.67
    acly
    -0.66
    reddits
    -0.66
    ablishment
    -0.65
    NetMessage
    -0.65
     âĺ
    -0.64
    iron
    -0.64
     Fires
    -0.64
    POSITIVE LOGITS
     rehabilitation
    1.24
     extradition
    1.23
     parole
    1.19
     pled
    1.16
     rehab
    1.14
     arra
    1.09
     prosecutors
    1.09
     probation
    1.09
     plea
    1.08
     attorney
    1.07
    Activations Density 1.149%

    No Known Activations