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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. 19938
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    INDEX
    Explanations

    descriptions or discussions on processes rather than end results

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing the process over the product in various contexts

    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
    )."
    -0.64
    )"
    -0.64
     please
    -0.64
     etc
    -0.61
    ?).
    -0.61
     tho
    -0.61
     LOL
    -0.60
    ;}
    -0.60
    }"
    -0.59
    lol
    -0.58
    POSITIVE LOGITS
     geographically
    0.76
     heterogeneity
    0.75
     geography
    0.68
     fundamentally
    0.67
    etheless
    0.64
     extraordinarily
    0.63
     pree
    0.62
     itself
    0.61
     disag
    0.61
     generational
    0.61
    Activations Density 1.171%

    No Known Activations