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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. 7769
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    Explanations

    references to individuals involved in actions related to criminal activity or accusations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    news-related sentences involving arrests, charges, or legal actions against individuals

    oai_token-act-pair · gpt-3.5-turbo
    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
     mathemat
    -0.82
     neurons
    -0.79
     incumb
    -0.78
     equivalents
    -0.75
     trillions
    -0.74
     dividends
    -0.72
     corridors
    -0.71
     transcripts
    -0.70
     verbs
    -0.70
     coffers
    -0.70
    POSITIVE LOGITS
    whose
    0.91
     whom
    0.81
     whose
    0.74
    hunt
    0.73
     named
    0.73
    who
    0.73
     who
    0.69
    gue
    0.68
    ivan
    0.68
     accidentally
    0.68
    Activations Density 0.520%

    No Known Activations