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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 12718
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    Explanations

    exclamatory questions expressing surprise or disbelief

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express confusion or surprise, often punctuated with exclamatory or interrogative marks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •layer 1 - surprise

    No Comments

    Negative Logits
    Ö¼
    -0.78
    amen
    -0.73
     hob
    -0.71
    itions
    -0.70
    odor
    -0.68
     corrid
    -0.68
     purified
    -0.68
    missions
    -0.68
    rive
    -0.68
    iral
    -0.67
    POSITIVE LOGITS
    ?!
    1.52
    ?,
    1.03
    !?
    1.02
    ?!"
    1.01
    !!
    0.99
    #$
    0.98
    !!!!!
    0.98
     Huh
    0.98
    ??
    0.97
     Anyway
    0.96
    Activations Density 0.008%

    No Known Activations