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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. 17196
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    INDEX
    Explanations

    numerical values indicating quantities

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating quantities or measurements slightly exceeding a specified amount

    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
    antine
    -0.87
    Ô
    -0.74
    cean
    -0.74
    20439
    -0.70
    illary
    -0.70
     Flavoring
    -0.69
    PLA
    -0.69
    ubi
    -0.68
    uld
    -0.65
    Creat
    -0.64
    POSITIVE LOGITS
     Pradesh
    0.72
    kill
    0.68
    population
    0.67
     horizon
    0.65
     shy
    0.63
    whelming
    0.63
     half
    0.62
    deck
    0.62
    akuya
    0.62
    capacity
    0.61
    Activations Density 0.030%

    No Known Activations