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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. 11-RES-JB
    11. 12202
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    INDEX
    Explanations

    process-related words such as 'process', 'repeated', 'stirring', 'mix', 'adding', 'output', etc

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to processes and instructions

    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
    BuyableInstoreAndOnline
    -0.78
    dylib
    -0.67
     tainted
    -0.61
    resa
    -0.60
    inventoryQuantity
    -0.59
    "},"
    -0.58
    ãĤª
    -0.57
    ¬¼
    -0.56
    ologne
    -0.56
    erville
    -0.55
    POSITIVE LOGITS
     until
    1.39
     till
    1.20
    until
    1.08
     accordingly
    1.06
     continuously
    1.04
     progressively
    1.04
     upwards
    1.03
     indefinitely
    1.02
     endlessly
    1.01
     downwards
    1.00
    Activations Density 0.377%

    No Known Activations