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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 2578
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    Explanations

    words related to physical or psychological harm and abuse

    oai_token-act-pair · gpt-3.5-turbo

    references to torture and related activities

    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
    soType
    -0.75
     Forbes
    -0.69
    abeth
    -0.68
    ership
    -0.65
    é¾įå
    -0.64
    Merit
    -0.62
    cius
    -0.61
    nect
    -0.60
     lender
    -0.60
     explan
    -0.60
    POSITIVE LOGITS
     torture
    0.85
    rs
    0.84
     chambers
    0.80
    apons
    0.79
     inflicted
    0.78
    APE
    0.73
     techniques
    0.73
     tactics
    0.73
     methods
    0.72
    reatment
    0.71
    Activations Density 0.055%

    No Known Activations