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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. 22806
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    Explanations

    proper nouns or names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the verb "to be" in various forms

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Highlights
    -0.78
     resumes
    -0.72
     contrasts
    -0.70
     slideshow
    -0.70
     IMAGES
    -0.68
     mandate
    -0.68
     reversal
    -0.67
     hinges
    -0.67
     culmin
    -0.66
     signifies
    -0.65
    POSITIVE LOGITS
     asleep
    1.12
     assassinated
    1.12
     murdered
    1.05
     killed
    1.03
     able
    0.99
     born
    0.99
    wolf
    0.99
     kidnapped
    0.98
     bitten
    0.94
     gunned
    0.93
    Activations Density 0.402%

    No Known Activations