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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. 1-RES-JB
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    Explanations

    surprising or unexpected occurrences

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "surprised" across various contexts

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ciplinary
    -0.89
    ©¶æ
    -0.80
    lim
    -0.76
    entric
    -0.74
    amins
    -0.69
     retri
    -0.68
    inia
    -0.67
    industrial
    -0.67
    nan
    -0.67
    efficiency
    -0.66
    POSITIVE LOGITS
     surprised
    1.02
     aback
    0.91
     onlook
    0.82
     shocked
    0.79
     surprises
    0.78
     Surprise
    0.77
     aloud
    0.75
     surpr
    0.75
     surprise
    0.73
     surprising
    0.73
    Activations Density 0.012%

    No Known Activations