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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. 10-RES-JB
    6. 10845
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    INDEX
    Explanations

    numbers related to quantities of people

    oai_token-act-pair · gpt-3.5-turbo

    references to statistics and the impact on populations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Wong
    -0.59
     Ratt
    -0.59
    ollah
    -0.58
     sequels
    -0.56
     McKenzie
    -0.55
     Nebula
    -0.55
     Leigh
    -0.55
    inventoryQuantity
    -0.54
     aggression
    -0.54
    PO
    -0.54
    POSITIVE LOGITS
     worldwide
    1.31
     annually
    1.09
     globally
    1.07
     nationwide
    1.06
     apiece
    1.02
     across
    0.86
    +.
    0.82
     statewide
    0.80
     nationally
    0.79
     respectively
    0.77
    Activations Density 0.184%

    No Known Activations