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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. 14447
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    INDEX
    Explanations

    dates or time-related terms

    oai_token-act-pair · gpt-3.5-turbo

    specific numerical references, particularly related to years

    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
    TPP
    -0.67
     Loans
    -0.65
     Syndicate
    -0.64
     Collider
    -0.61
     DRM
    -0.61
    obal
    -0.60
     Redemption
    -0.60
    ULE
    -0.59
    henko
    -0.59
    ovie
    -0.58
    POSITIVE LOGITS
    Eight
    1.11
    eteen
    1.06
     thousand
    1.04
    eight
    0.98
    irteen
    0.96
    teen
    0.94
    eenth
    0.90
     Thousand
    0.89
    seven
    0.88
     Shades
    0.88
    Activations Density 0.023%

    No Known Activations