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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. 0-RES-JB
    6. 1040
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    INDEX
    Explanations

    proper nouns or specific entities

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Found" with varying levels of significance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     spoiler
    -0.78
     schedule
    -0.75
     override
    -0.70
     electronically
    -0.67
     reel
    -0.67
     ridicule
    -0.66
     divert
    -0.66
     withholding
    -0.66
     tense
    -0.65
     manual
    -0.65
    POSITIVE LOGITS
     Found
    3.71
    Found
    3.34
    found
    2.24
     Reached
    1.52
     foundations
    1.41
     Identified
    1.34
     Noticed
    1.34
     Fell
    1.30
     found
    1.26
     Bought
    1.25
    Activations Density 0.012%

    No Known Activations