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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. 12501
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    Explanations

    medical conditions or terms related to precursors and prerequisites

    oai_token-act-pair · gpt-3.5-turbo

    terms related to prerequisites and precursor concepts 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
    iband
    -0.79
    Gov
    -0.72
    erville
    -0.72
    hire
    -0.71
    eland
    -0.70
    justice
    -0.70
    wit
    -0.69
    bash
    -0.68
    osh
    -0.68
    prise
    -0.68
    POSITIVE LOGITS
     prec
    3.63
     precursor
    3.03
     prerequisite
    1.39
     prepar
    1.33
     prem
    1.18
     pre
    1.17
     proto
    1.10
     intermedi
    0.97
     prep
    0.96
     groundwork
    0.96
    Activations Density 0.017%

    No Known Activations