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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. 9-RES-JB
    11. 16180
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    Explanations

    phrases expressing strong emotions or exclamations, particularly related to expressions of surprise or shock

    oai_token-act-pair · gpt-3.5-turbo

    expressions of surprise, exclamations, and interjections

    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
    •layer 9 - surprise

    No Comments

    Negative Logits
    actionDate
    -0.68
    isse
    -0.64
    ãĤ¼
    -0.64
    ANC
    -0.63
    arez
    -0.62
    Reviewed
    -0.60
     prototyp
    -0.58
    ourse
    -0.58
    FN
    -0.57
     streng
    -0.57
    POSITIVE LOGITS
     WHY
    0.89
     yeah
    0.88
     hurry
    0.86
    !!!!!
    0.85
    fuck
    0.85
     why
    0.84
    !!!
    0.84
     thats
    0.84
    !!!!
    0.83
    !
    0.83
    Activations Density 0.101%

    No Known Activations