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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 9-RES-JB
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    words expressing strong emphasis or frustration

    oai_token-act-pair · gpt-3.5-turbo

    expressions of strong emotional emphasis, particularly with the words "damn" and "darn."

    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
    NetMessage
    -0.85
    IDS
    -0.67
    OHN
    -0.66
    CRE
    -0.64
     obser
    -0.63
     destro
    -0.63
    Edit
    -0.62
     Cosponsors
    -0.61
    ":[{"
    -0.61
    ETF
    -0.61
    POSITIVE LOGITS
    near
    0.98
    ibly
    0.98
    selves
    0.91
    ation
    0.86
     damned
    0.81
    ably
    0.80
     darn
    0.78
    nuts
    0.78
    warm
    0.77
    atio
    0.77
    Activations Density 0.044%

    No Known Activations