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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. 8255
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    Explanations

    specific keywords related to programming languages and software development

    oai_token-act-pair · gpt-3.5-turbo

    references to administrative roles or functions

    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
    ometimes
    -0.67
    aughs
    -0.61
     Quan
    -0.61
     tack
    -0.60
    aughed
    -0.59
     Surviv
    -0.58
     disarm
    -0.58
     Invention
    -0.58
     varied
    -0.57
    etheless
    -0.56
    POSITIVE LOGITS
    "]
    1.93
    ");
    1.85
    "}
    1.83
    ")
    1.82
    ").
    1.80
    "/>
    1.74
    "))
    1.71
    ">
    1.67
    "],
    1.65
    ",
    1.57
    Activations Density 0.119%

    No Known Activations