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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. 11-RES-JB
    11. 5047
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    Explanations

    phrases indicating surprise or shock

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating surprise or shock regarding new information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •layer 11 - surprise

    No Comments

    Negative Logits
    urance
    -0.69
    çī
    -0.67
    lain
    -0.65
    ById
    -0.60
     Modified
    -0.60
    sis
    -0.60
    VOL
    -0.58
    WithNo
    -0.57
     Needs
    -0.56
    oli
    -0.56
    POSITIVE LOGITS
     discover
    1.69
     learn
    1.53
     find
    1.46
     hear
    1.44
     see
    1.42
     realize
    1.39
     realise
    1.36
     observe
    1.14
     note
    1.09
     witness
    1.07
    Activations Density 0.086%

    No Known Activations