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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. 4019
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    INDEX
    Explanations

    phrases indicating the start of a spoken statement or presentation

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "Speaking"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    ery
    -0.78
    eer
    -0.74
    ichen
    -0.66
    eers
    -0.65
    involved
    -0.65
    hews
    -0.65
    eries
    -0.62
    isd
    -0.61
    vier
    -0.61
    feeding
    -0.59
    POSITIVE LOGITS
     anecd
    0.99
     bluntly
    0.85
     frankly
    0.85
     anonymously
    0.83
     candid
    0.83
     honestly
    0.82
     engagements
    0.80
     exclusively
    0.79
     personally
    0.76
     aloud
    0.74
    Activations Density 0.025%

    No Known Activations