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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. 7228
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    INDEX
    Explanations

    phrases indicating specific scenarios or conditions, often involving multiple factors or outcomes

    oai_token-act-pair · gpt-3.5-turbo

    instances of uncertainty and variability in situations

    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
    baugh
    -0.82
    ":[{"
    -0.75
    folio
    -0.71
    Problem
    -0.70
    ////////
    -0.66
    ":{"
    -0.66
    udeb
    -0.66
     Disciple
    -0.65
    metadata
    -0.64
    ãĤ©
    -0.64
    POSITIVE LOGITS
     even
    1.34
     downright
    1.18
     outright
    1.08
     entire
    0.95
     EVEN
    0.95
    even
    0.94
     literally
    0.86
     worse
    0.79
     suicide
    0.78
     suicidal
    0.75
    Activations Density 0.766%

    No Known Activations