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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. 4-RES-JB
    11. 19967
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    Explanations

    instances where the speaker expresses surprise

    oai_token-act-pair · gpt-3.5-turbo

    expressions of surprise or unexpectedness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •layer 4 - surprise

    No Comments

    Negative Logits
    ciplinary
    -0.80
    amins
    -0.79
    ngth
    -0.77
    vertisement
    -0.72
    ignty
    -0.72
    inia
    -0.72
    vertising
    -0.68
     fide
    -0.67
     ende
    -0.67
    secure
    -0.65
    POSITIVE LOGITS
     Squid
    0.81
    terson
    0.75
    imaru
    0.72
    NESS
    0.70
     Pew
    0.70
    ness
    0.70
     HuffPost
    0.68
     Gry
    0.66
    cules
    0.66
     onlook
    0.66
    Activations Density 0.014%

    No Known Activations