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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. 7-RES-JB
    11. 19143
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    Explanations

    expressions related to seriousness or importance

    oai_token-act-pair · gpt-3.5-turbo

    references to taking situations or issues seriously

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inia
    -0.88
    artifacts
    -0.84
    tein
    -0.77
    lyn
    -0.69
    keys
    -0.69
    Wars
    -0.68
    ramid
    -0.68
     recess
    -0.65
    lets
    -0.65
    ifully
    -0.65
    POSITIVE LOGITS
     enough
    0.85
     seriously
    0.77
     dent
    0.72
     Jag
    0.68
     seriousness
    0.67
    ATIONAL
    0.67
     minded
    0.66
    sted
    0.66
    PDATE
    0.65
    igious
    0.64
    Activations Density 0.014%

    No Known Activations