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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. 11-RES-JB
    6. 3930
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    Explanations

    mentions of the word "Tre" followed by a varying number

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Tre" or variations of it

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     diagn
    -0.59
     Naomi
    -0.57
     packs
    -0.57
     dated
    -0.56
     rounding
    -0.56
     scares
    -0.54
     simulations
    -0.54
     supper
    -0.53
     quit
    -0.52
    enegger
    -0.52
    POSITIVE LOGITS
    asured
    1.39
    asures
    1.26
    acher
    1.20
    asuring
    1.17
    asury
    1.15
    ngth
    1.11
    acly
    1.10
    asure
    1.07
    llo
    1.07
    acle
    1.07
    Activations Density 0.022%

    No Known Activations