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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. 2395
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    INDEX
    Explanations

    quantitative statements with numerical values

    oai_token-act-pair · gpt-3.5-turbo

    numerical references indicating frequency or prevalence

    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
    undown
    -0.63
    tto
    -0.56
    olean
    -0.55
    ilts
    -0.55
    lov
    -0.55
    istas
    -0.55
     histories
    -0.54
    apons
    -0.54
    atography
    -0.54
    estyles
    -0.54
    POSITIVE LOGITS
     thirds
    1.37
     tenth
    1.20
     quarter
    1.18
     fifth
    1.17
     third
    1.15
    fifth
    1.08
    third
    1.07
    thirds
    1.05
     percent
    1.05
    quarter
    1.02
    Activations Density 0.091%

    No Known Activations