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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. 7-RES-JB
    11. 11750
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    Explanations

    phrases that reflect surprise or lack of awareness

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate a lack of awareness or realization about significant events or situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •layer 7 - surprise

    No Comments

    Negative Logits
     understandably
    -0.71
     Recommend
    -0.70
    ibaba
    -0.69
     recommendations
    -0.68
     understandable
    -0.66
     Advice
    -0.66
    Reviewer
    -0.65
    pedia
    -0.64
     reiterate
    -0.63
     recommendation
    -0.63
    POSITIVE LOGITS
     existed
    0.85
    heit
    0.80
     existence
    0.79
     anymore
    0.79
     happening
    0.73
    paren
    0.71
     impending
    0.70
     nor
    0.68
    !'"
    0.65
    coming
    0.63
    Activations Density 0.340%

    No Known Activations