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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. 2-RES-JB
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    Explanations

    references to arrests

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "arrest."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vironment
    -0.74
    pace
    -0.73
    yss
    -0.72
    emonic
    -0.69
    psons
    -0.69
    wagen
    -0.67
    soDeliveryDate
    -0.66
    cised
    -0.65
    shadow
    -0.65
     spons
    -0.64
    POSITIVE LOGITS
     arrest
    0.95
    ees
    0.89
    ments
    0.81
     arrests
    0.81
     warrants
    0.81
     warrant
    0.79
     Warrant
    0.77
    able
    0.74
    ment
    0.69
    worthiness
    0.68
    Activations Density 0.014%

    No Known Activations