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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 23048
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    Explanations

    code snippets or commands in a programming language

    oai_token-act-pair · gpt-3.5-turbo

    programming syntax and structure elements in code

    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
    uploads
    -0.81
    accompan
    -0.81
    urus
    -0.77
    achev
    -0.76
    ovember
    -0.73
    kefeller
    -0.73
    chwitz
    -0.73
    asta
    -0.72
     lobb
    -0.72
     raids
    -0.71
    POSITIVE LOGITS
     Integer
    1.43
     bool
    1.39
     uint
    1.33
    uint
    1.32
     Boolean
    1.30
     String
    1.24
     boolean
    1.23
    bool
    1.19
     integer
    1.17
     int
    1.11
    Activations Density 0.099%

    No Known Activations