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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. 11921
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    Explanations

    superlative forms indicating the highest degree or extent of something

    oai_token-act-pair · gpt-3.5-turbo

    the word "most," emphasizing its usage in various contexts throughout the document

    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
    asar
    -0.68
     WRITE
    -0.61
     Sands
    -0.60
    urches
    -0.59
     CARD
    -0.59
    instead
    -0.58
     Tanz
    -0.58
     Palace
    -0.57
     CHR
    -0.57
     trilogy
    -0.56
    POSITIVE LOGITS
     importantly
    1.27
     likely
    1.15
    likely
    1.05
     notably
    1.04
     certainly
    1.04
     assured
    1.03
     definitely
    1.01
    afa
    0.95
     prominently
    0.92
     Likely
    0.85
    Activations Density 0.061%

    No Known Activations