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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. 4372
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    Explanations

    keywords related to tools and kits

    oai_token-act-pair · gpt-3.5-turbo

    phrases that reference various types of toolkits

    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
     Presidents
    -0.72
     transsexual
    -0.72
     Dickinson
    -0.69
     credits
    -0.68
     Braves
    -0.66
     partic
    -0.66
     Perse
    -0.65
     Amendments
    -0.65
     heel
    -0.63
     Whites
    -0.63
    POSITIVE LOGITS
    kit
    4.59
    Kit
    2.39
     kit
    1.44
     Kit
    1.21
     kits
    1.20
    box
    1.20
    kar
    1.19
    krit
    1.14
    kat
    1.14
    pack
    1.11
    Activations Density 0.008%

    No Known Activations