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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. 10475
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    INDEX
    Explanations

    phrases expressing thoughts or opinions

    oai_token-act-pair · gpt-3.5-turbo

    conversational phrases and expressions

    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
    olves
    -0.78
    rawdownloadcloneembedreportprint
    -0.75
     occasion
    -0.75
     Polk
    -0.70
     Flavoring
    -0.70
    cius
    -0.67
    vable
    -0.66
    orne
    -0.66
    ensed
    -0.66
    ython
    -0.66
    POSITIVE LOGITS
     wow
    1.31
     hey
    1.16
     Wow
    1.07
     oh
    1.06
    yeah
    1.04
     yeah
    1.04
    wow
    1.03
    Wow
    0.98
    Oh
    0.98
     Oh
    0.96
    Activations Density 0.092%

    No Known Activations