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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. 10-RES-JB
    6. 15594
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    INDEX
    Explanations

    mentions of specific individuals

    oai_token-act-pair · gpt-3.5-turbo

    instances of high-profile media references or notable figures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     periodic
    -0.71
     preservation
    -0.70
     redress
    -0.67
     obstruction
    -0.66
     suppression
    -0.66
     vain
    -0.66
     minion
    -0.65
     ministerial
    -0.65
     gard
    -0.64
     cessation
    -0.64
    POSITIVE LOGITS
    advertising
    1.70
    Probably
    1.33
    Originally
    1.25
    Another
    1.22
    Released
    1.22
    Introduced
    1.21
    Yep
    1.20
    Okay
    1.17
    Honestly
    1.17
    Seriously
    1.17
    Activations Density 0.150%

    No Known Activations