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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. 22819
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    INDEX
    Explanations

    instances where the adjective "very" is used

    oai_token-act-pair · gpt-3.5-turbo

    the word "very" in various contexts to emphasize intensity

    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
    kowski
    -0.60
     Donation
    -0.59
     Crime
    -0.57
    ande
    -0.57
     Guys
    -0.57
    ote
    -0.56
    alone
    -0.56
     Enterprise
    -0.56
     Tip
    -0.55
     Theater
    -0.55
    POSITIVE LOGITS
     stringent
    1.06
     differing
    1.01
    limited
    0.97
     varying
    0.97
     extensive
    0.93
     varied
    0.92
     conflicting
    0.92
     ample
    0.90
     fewer
    0.90
     substantial
    0.89
    Activations Density 0.123%

    No Known Activations