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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. 2642
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    INDEX
    Explanations

    phrases related to chemical processes

    oai_token-act-pair · gpt-3.5-turbo

    phrases consisting of numerical or density-related terms

    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
    ropolitan
    -0.77
    leground
    -0.73
    ariat
    -0.68
    abouts
    -0.67
    ctions
    -0.66
    Sales
    -0.64
     EDITION
    -0.64
    chell
    -0.63
    quished
    -0.62
    azeera
    -0.61
    POSITIVE LOGITS
     causing
    1.44
     creating
    1.30
     forming
    1.30
     allowing
    1.28
     preventing
    1.24
     enabling
    1.21
     releasing
    1.19
     producing
    1.18
     trapping
    1.18
     reducing
    1.17
    Activations Density 0.206%

    No Known Activations