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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. 6-RES-JB
    6. 21381
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    Explanations

    dates in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    time stamps and dates within the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ozo
    -0.72
    theless
    -0.71
     suscept
    -0.67
    holding
    -0.67
     Palestin
    -0.66
     behavi
    -0.66
     Incarn
    -0.64
     forgiven
    -0.63
     exha
    -0.62
    inventoryQuantity
    -0.61
    POSITIVE LOGITS
     02
    0.96
     03
    0.92
     07
    0.90
    00
    0.90
     06
    0.88
     05
    0.88
     04
    0.88
     08
    0.87
     01
    0.86
    01
    0.85
    Activations Density 0.028%

    No Known Activations