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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. 7-RES-JB
    6. 19728
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    INDEX
    Explanations

    mentions of custom-made or customized items/products

    oai_token-act-pair · gpt-3.5-turbo

    references to customization and personalized elements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ï¸
    -0.75
    loo
    -0.75
    Æ
    -0.74
    OPE
    -0.72
     CrossRef
    -0.70
     Kinn
    -0.69
    wick
    -0.69
    minster
    -0.68
    trump
    -0.68
    =-=-=-=-
    -0.68
    POSITIVE LOGITS
    isable
    1.60
    izations
    1.49
    isations
    1.33
    ised
    1.33
    arily
    1.29
    izable
    1.26
    isation
    1.23
    ization
    1.07
    izing
    1.02
    ized
    0.98
    Activations Density 0.030%

    No Known Activations