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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. 4-RES-JB
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    Explanations

    mentions of chambers of commerce

    oai_token-act-pair · gpt-3.5-turbo

    references to the Chamber of Commerce

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

    No Comments

    Negative Logits
    udeb
    -0.73
     Horton
    -0.70
    WAR
    -0.70
    768
    -0.67
    dden
    -0.62
    private
    -0.62
    racted
    -0.62
    etr
    -0.61
    tk
    -0.60
     Mub
    -0.60
    POSITIVE LOGITS
     Commerce
    0.92
     Bureau
    0.82
     bureau
    0.76
     commerce
    0.73
    neau
    0.69
    icit
    0.69
     Reserve
    0.68
    cean
    0.67
     Stores
    0.67
     Trade
    0.67
    Activations Density 0.015%

    No Known Activations