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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. 6687
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    INDEX
    Explanations

    nouns related to physical objects or materials

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks and their usage in various contexts

    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
    ½
    -0.72
    tera
    -0.67
    ļ
    -0.67
    ENCY
    -0.66
    endo
    -0.64
    mite
    -0.64
     Dynasty
    -0.62
    ibl
    -0.62
     Anniversary
    -0.60
    cend
    -0.60
    POSITIVE LOGITS
     thereby
    1.34
     hoping
    1.14
     prompting
    1.09
     resulting
    1.08
     respectively
    1.07
     intending
    1.05
     allowing
    1.04
     causing
    1.00
     ensuring
    1.00
     mim
    0.98
    Activations Density 0.409%

    No Known Activations