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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. 5-RES-JB
    6. 16559
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    INDEX
    Explanations

    phrases conveying surprise

    oai_token-act-pair · gpt-3.5-turbo

    expressions of surprise

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •layer 5 - surprise

    No Comments

    Negative Logits
    ciplinary
    -0.84
    amins
    -0.74
    vertisement
    -0.73
    haar
    -0.73
    utf
    -0.71
    ngth
    -0.70
    alach
    -0.69
    ueller
    -0.69
    interstitial
    -0.69
    ignty
    -0.69
    POSITIVE LOGITS
     Squid
    0.79
    imaru
    0.74
     Pew
    0.72
    vale
    0.70
    cules
    0.70
     HuffPost
    0.68
     bystanders
    0.66
     onlook
    0.66
     silence
    0.65
     Gry
    0.65
    Activations Density 0.023%

    No Known Activations