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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. 10-RES-JB
    6. 15388
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    Explanations

    the repeated mention of the term "An" or its variations in different contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    occurrences of the word "An" followed by another word

    oai_token-act-pair · gpt-3.5-turbo
    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
    âĸº
    -0.64
     Continued
    -0.62
     jeopardy
    -0.61
     minus
    -0.60
     fastball
    -0.59
     sides
    -0.59
     backwards
    -0.57
     wink
    -0.57
     yes
    -0.56
     Solitaire
    -0.55
    POSITIVE LOGITS
    omaly
    1.39
    alogue
    1.37
    alys
    1.31
    ubis
    1.29
    nette
    1.23
    omal
    1.23
    alyses
    1.18
    notation
    1.18
    terior
    1.16
    esthesia
    1.14
    Activations Density 0.022%

    No Known Activations