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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. 0-RES-JB
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    Explanations

    words related to being surprised or astonished

    oai_token-act-pair · gpt-3.5-turbo

    expressions of shock or surprise

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •layer 0 - surprise

    No Comments

    Negative Logits
     permissions
    -0.77
    llan
    -0.70
    access
    -0.68
     availability
    -0.67
    Theme
    -0.64
    idas
    -0.64
     Plays
    -0.64
    Mech
    -0.62
    erness
    -0.62
     TOD
    -0.62
    POSITIVE LOGITS
     shocked
    3.42
     stunned
    2.83
     horrified
    2.55
     astonished
    2.42
     surprised
    2.25
     amazed
    2.16
     appalled
    2.14
     startled
    2.06
     outraged
    2.03
     baffled
    1.95
    Activations Density 0.013%

    No Known Activations