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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. 0-RES-JB
    11. 18253
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    INDEX
    Explanations

    questions or phrases starting with "what" followed by a high activation word

    oai_token-act-pair · gpt-3.5-turbo

    the word "what" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    alli
    -0.65
    ®
    -0.63
    wash
    -0.61
    oided
    -0.60
    uler
    -0.57
     latter
    -0.55
    onte
    -0.55
    wa
    -0.55
    ade
    -0.54
    oes
    -0.53
    POSITIVE LOGITS
     what
    2.68
    what
    2.10
     whats
    1.72
     how
    1.71
     WHAT
    1.67
     why
    1.64
     whatever
    1.56
     What
    1.48
    What
    1.33
     something
    1.31
    Activations Density 0.119%

    No Known Activations