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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. 23233
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    INDEX
    Explanations

    phrases introducing or emphasizing points in a speech or writing

    oai_token-act-pair · gpt-3.5-turbo

    instances of gratitude and acknowledgments in various contexts

    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
    oslav
    -0.71
    etheless
    -0.67
    roit
    -0.64
    pering
    -0.61
    "},"
    -0.61
    ļéĨĴ
    -0.61
    thur
    -0.60
    rams
    -0.60
    bd
    -0.59
    EStream
    -0.59
    POSITIVE LOGITS
     congratulations
    1.00
     let
    0.90
     introdu
    0.89
     Introduction
    0.87
     congr
    0.83
     suppose
    0.77
     admit
    0.71
    ibaba
    0.70
     apologize
    0.70
     apologies
    0.69
    Activations Density 0.089%

    No Known Activations