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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. 19474
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    INDEX
    Explanations

    mentions of criminal activities or investigations

    oai_token-act-pair · gpt-3.5-turbo

    references to crime and criminal behavior

    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
    )=(
    -0.83
    achev
    -0.80
    ersed
    -0.77
    arity
    -0.77
    por
    -0.72
    zl
    -0.71
    DCS
    -0.70
    artney
    -0.69
    atche
    -0.69
    chell
    -0.68
    POSITIVE LOGITS
     spree
    1.10
     perpetrated
    0.84
    fighting
    0.84
    fighter
    0.81
     synd
    0.80
     crimes
    0.78
     crime
    0.77
     unfocusedRange
    0.76
     Victim
    0.75
     homicide
    0.74
    Activations Density 0.028%

    No Known Activations