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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. 18027
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    INDEX
    Explanations

    statements related to the effectiveness or ineffectiveness of certain actions or policies

    oai_token-act-pair · gpt-3.5-turbo

    arguments related to the effectiveness of various policies or initiatives

    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
     Printed
    -0.85
     brood
    -0.73
     handwritten
    -0.73
     guessing
    -0.68
     Naked
    -0.67
     ridicule
    -0.67
     disbelief
    -0.66
     Fancy
    -0.66
     Fn
    -0.65
     Jere
    -0.64
    POSITIVE LOGITS
    acea
    1.31
     beneficial
    1.21
     effic
    1.14
     allev
    1.12
     reducing
    1.10
     sustainable
    1.10
     deterrent
    1.09
     alleviate
    1.06
     deterrence
    1.05
     boosting
    1.04
    Activations Density 0.603%

    No Known Activations