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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. 3348
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    INDEX
    Explanations

    proper nouns related to people or brands

    oai_token-act-pair · gpt-3.5-turbo

    mentions of individuals and brands related to beer and brewing

    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
    hips
    -0.84
    pher
    -0.78
    tics
    -0.78
    craft
    -0.75
    itatively
    -0.75
    bol
    -0.74
    yrinth
    -0.73
    ount
    -0.71
    peria
    -0.70
    onet
    -0.69
    POSITIVE LOGITS
     Hein
    1.00
     sandwiches
    0.90
    Whe
    0.79
    lein
    0.76
     sandwich
    0.76
     Beans
    0.75
     Foods
    0.75
     mustard
    0.74
     hamb
    0.71
     bisc
    0.71
    Activations Density 0.024%

    No Known Activations