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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. 3-RES-JB
    11. 15888
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    Explanations

    phrases related to embarrassing situations

    oai_token-act-pair · gpt-3.5-turbo

    references to embarrassment and related feelings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oan
    -0.84
    ework
    -0.83
    emis
    -0.81
    sword
    -0.77
    WORK
    -0.76
    ello
    -0.76
    ingham
    -0.75
    erent
    -0.75
    erential
    -0.74
    erd
    -0.72
    POSITIVE LOGITS
     embarrassing
    1.20
     embarrassment
    1.09
     embarrass
    0.99
     humiliating
    0.91
     embarrassed
    0.86
     humili
    0.82
     disadvant
    0.74
    faced
    0.74
     scandals
    0.72
     tarn
    0.72
    Activations Density 0.009%

    No Known Activations