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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. 17937
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    INDEX
    Explanations

    numerical values, quantities, and statistics

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and statistics related to populations or quantities

    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
     Scourge
    -0.81
    inventoryQuantity
    -0.75
    uca
    -0.73
    agate
    -0.71
    atown
    -0.64
    govtrack
    -0.64
    displayText
    -0.63
     Takeru
    -0.62
    aeus
    -0.62
    alys
    -0.61
    POSITIVE LOGITS
     categories
    1.12
     distinct
    1.02
     different
    1.00
     varieties
    0.97
     personalities
    0.94
     countries
    0.93
     disciplines
    0.92
     disparate
    0.90
     destinations
    0.88
     constituencies
    0.87
    Activations Density 0.233%

    No Known Activations