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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. 10848
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    INDEX
    Explanations

    mentions of particular organizations or events

    oai_token-act-pair · gpt-3.5-turbo

    percentage values or numeric data within the text

    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
     Morales
    -0.70
     Melvin
    -0.69
    loo
    -0.66
     Deity
    -0.65
     Watson
    -0.62
     Jacobs
    -0.61
     Swanson
    -0.60
     blinded
    -0.59
     Hurt
    -0.59
     inciner
    -0.58
    POSITIVE LOGITS
    window
    1.11
    Loading
    1.07
    RAW
    0.86
    Topics
    0.84
    asters
    0.84
    âĵĺ
    0.80
    Posted
    0.78
    âĶĢâĶĢâĶĢâĶĢ
    0.75
    Trivia
    0.75
    clus
    0.75
    Activations Density 0.244%

    No Known Activations