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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. 1923
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    INDEX
    Explanations

    phrases related to the magnitude or extent of something

    oai_token-act-pair · gpt-3.5-turbo

    adjectives that express varying degrees of magnitude or significance

    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
    ools
    -0.63
    ortment
    -0.59
    tein
    -0.59
    elf
    -0.58
    hemy
    -0.58
    ogie
    -0.56
    arlane
    -0.55
    irit
    -0.55
    uddin
    -0.54
     unsuspecting
    -0.53
    POSITIVE LOGITS
     enough
    1.10
     compared
    0.99
    enough
    0.88
    ;
    0.80
     indeed
    0.79
     owing
    0.77
    ly
    0.77
    ened
    0.77
    .
    0.75
    aneously
    0.72
    Activations Density 0.223%

    No Known Activations