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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. 8-RES-JB
    6. 15512
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    Explanations

    questions and expressions of surprise

    oai_token-act-pair · gpt-3.5-turbo

    expressions of surprise or disbelief

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •layer 8 - surprise

    No Comments

    Negative Logits
     diffusion
    -0.72
    ezvous
    -0.71
     preference
    -0.64
     coasts
    -0.59
    idem
    -0.58
     favors
    -0.58
     Nieto
    -0.58
     mutually
    -0.58
    aturday
    -0.56
     liber
    -0.55
    POSITIVE LOGITS
    ?!
    1.09
    ?!"
    1.05
    ?)
    1.00
    Huh
    1.00
    ???
    0.99
    ?".
    0.97
    !?"
    0.96
    Why
    0.96
    ?).
    0.95
    !?
    0.94
    Activations Density 0.446%

    No Known Activations