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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. 5-RES-JB
    6. 16624
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    Explanations

    code snippets and programming language syntax related to JavaScript and MongoDB

    oai_token-act-pair · gpt-3.5-turbo

    patterns related to programming syntax and function definitions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iple
    -0.97
    hyde
    -0.92
    alach
    -0.90
    ortal
    -0.84
    ipel
    -0.79
    etsk
    -0.78
    vae
    -0.76
    umen
    -0.75
    laus
    -0.73
    uum
    -0.73
    POSITIVE LOGITS
     {"
    0.85
     ({
    0.78
     [];
    0.78
     nil
    0.76
     Mandatory
    0.69
     {}
    0.68
     println
    0.68
     Array
    0.67
     Ùħ
    0.67
     {:
    0.65
    Activations Density 0.008%

    No Known Activations