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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. 10-RES-JB
    11. 19051
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    INDEX
    Explanations

    phrases indicating lack of surprise

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating surprise or unexpectedness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tein
    -0.67
    ouf
    -0.65
     Respond
    -0.64
    abases
    -0.63
     Role
    -0.63
    chens
    -0.62
    eday
    -0.62
    abouts
    -0.62
     href
    -0.60
    href
    -0.60
    POSITIVE LOGITS
     surprise
    1.46
     shock
    1.26
     surpr
    1.06
    shock
    1.02
     Surprise
    0.97
     disappointment
    0.96
     relief
    0.93
     revelation
    0.92
     surprises
    0.91
     surprising
    0.88
    Activations Density 0.072%

    No Known Activations