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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. 9-RES-JB
    6. 1380
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    closing brackets in various formats

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etsy
    -0.75
    ĵĺ
    -0.67
    rette
    -0.66
    eling
    -0.64
     undermin
    -0.64
    sts
    -0.64
     cradle
    -0.62
    SourceFile
    -0.62
     tremend
    -0.62
    Ń·
    -0.62
    POSITIVE LOGITS
     Additionally
    1.23
     However
    1.20
     Furthermore
    1.15
     Interestingly
    1.14
     Later
    1.10
     Notably
    1.08
     Despite
    1.06
     Similarly
    1.06
     Nevertheless
    1.05
     Nonetheless
    1.04
    Activations Density 0.061%

    No Known Activations