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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. 3-RES-JB
    11. 8829
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    Explanations

    mentions of legal officials, particularly attorneys

    oai_token-act-pair · gpt-3.5-turbo

    references to attorneys

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     deaf
    -0.67
     hitch
    -0.67
     disembark
    -0.62
    ocobo
    -0.62
    bones
    -0.61
     RAF
    -0.61
    wn
    -0.61
    ERO
    -0.60
    bows
    -0.59
    crew
    -0.59
    POSITIVE LOGITS
     warr
    0.96
     Attorney
    0.81
    General
    0.80
    alties
    0.79
     General
    0.77
    alty
    0.75
    orneys
    0.73
    ial
    0.72
    iate
    0.72
    rored
    0.72
    Activations Density 0.013%

    No Known Activations