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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. 7-RES-JB
    6. 18524
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    INDEX
    Explanations

    numbers with specific formats, specifically those formatted as 4-3-7 or similar

    oai_token-act-pair · gpt-3.5-turbo

    patterns associated with numerical sequences or statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DERR
    -0.72
     cutting
    -0.69
     Cutting
    -0.65
     quitting
    -0.64
     Paddock
    -0.62
     exit
    -0.62
     core
    -0.61
     exiting
    -0.60
     casting
    -0.60
     scream
    -0.59
    POSITIVE LOGITS
    ©¶æ
    1.02
    cent
    0.84
    cell
    0.82
    infect
    0.82
    distance
    0.81
    inf
    0.81
    whatever
    0.81
    edition
    0.80
    tion
    0.80
    turned
    0.79
    Activations Density 0.097%

    No Known Activations