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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. 11-RES-JB
    6. 7903
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    INDEX
    Explanations

    it seems to be detecting specific phrases or keywords, but based solely on the given activations provided, it's not clear what the neuron is specifically looking for

    oai_token-act-pair · gpt-3.5-turbo

    mentions of economic concepts or factors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     subpoena
    -0.86
     redacted
    -0.79
     Hayden
    -0.79
     warrant
    -0.77
     Adams
    -0.76
     Rutherford
    -0.76
     subpoen
    -0.75
     Belichick
    -0.74
     Clapper
    -0.73
     Cheney
    -0.73
    POSITIVE LOGITS
    Vill
    1.31
    Residents
    1.26
     Rohing
    1.16
     villagers
    1.16
    Tour
    1.12
    Girls
    1.10
    Farm
    1.07
    Women
    1.07
    obyl
    1.06
    India
    1.05
    Activations Density 0.589%

    No Known Activations