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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. 5-RES-JB
    6. 23625
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    INDEX
    Explanations

    references to car brands and models

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns related to luxury brands and specific individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ingly
    -0.80
    inia
    -0.73
     //[
    -0.71
     GOODMAN
    -0.70
    listed
    -0.70
    é¾įå
    -0.70
    rider
    -0.67
    ########
    -0.66
    avis
    -0.66
     VID
    -0.65
    POSITIVE LOGITS
    oshenko
    0.87
    ön
    0.87
    roleum
    0.81
    asus
    0.80
    ongyang
    0.79
    insula
    0.77
    ainted
    0.77
    pload
    0.76
    akura
    0.75
    neum
    0.75
    Activations Density 0.031%

    No Known Activations