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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. 9-RES-JB
    11. 19519
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    Explanations

    organizations or entities related to commerce or business, particularly chambers of commerce

    oai_token-act-pair · gpt-3.5-turbo

    references to various chambers of commerce

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Wass
    -0.70
     curfew
    -0.62
    hig
    -0.61
    ces
    -0.58
     APR
    -0.56
     Mandela
    -0.55
     expectancy
    -0.54
     Yan
    -0.54
     Uri
    -0.54
     proposition
    -0.53
    POSITIVE LOGITS
    lain
    1.75
    maid
    1.13
    house
    0.87
    door
    0.81
    adian
    0.78
    lock
    0.77
     chambers
    0.75
    ItemTracker
    0.75
    lin
    0.75
    parts
    0.74
    Activations Density 0.061%

    No Known Activations