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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. 9-RES-JB
    6. 6341
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    INDEX
    Explanations

    statements of uncertainty or doubt

    oai_token-act-pair · gpt-3.5-turbo

    expressions of personal feelings and opinions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     phony
    -0.80
     godd
    -0.74
     Stupid
    -0.71
     sucker
    -0.70
     bogus
    -0.70
     idiot
    -0.68
     Scrib
    -0.68
     Coulter
    -0.67
     goose
    -0.67
     Godd
    -0.66
    POSITIVE LOGITS
     secondly
    1.15
    Secondly
    1.13
     Whilst
    1.10
    etheless
    1.06
     additionally
    0.99
     furthermore
    0.99
     whilst
    0.97
     util
    0.96
    Similarly
    0.95
    also
    0.95
    Activations Density 1.378%

    No Known Activations