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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. 5-RES-JB
    6. 10426
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    INDEX
    Explanations

    phrases related to law enforcement activities such as arrests

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of arrests in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    casters
    -0.78
    gaard
    -0.73
    mology
    -0.70
    vironment
    -0.68
    issance
    -0.67
     Remastered
    -0.67
    ankind
    -0.66
    fax
    -0.66
    emonic
    -0.65
    pace
    -0.65
    POSITIVE LOGITS
     PKK
    0.75
     Constable
    0.74
     felon
    0.73
     Officers
    0.69
     arrested
    0.69
     Marshal
    0.68
    uan
    0.66
    arnaev
    0.65
     criminally
    0.65
     protester
    0.65
    Activations Density 0.050%

    No Known Activations