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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. 6-RES-JB
    11. 22671
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    Explanations

    Unix file paths and command line prompts, such as "/bin/sh" and "/bin/bash" respectively

    oai_token-act-pair · gpt-3.5-turbo

    file paths and command-line arguments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    glers
    -0.90
    ailability
    -0.86
    LOAD
    -0.71
     Windsor
    -0.69
    IOR
    -0.63
     comprom
    -0.63
    DEF
    -0.63
    FontSize
    -0.62
    ISO
    -0.62
    enegger
    -0.60
    POSITIVE LOGITS
    igham
    0.75
    ossom
    0.74
    ussen
    0.71
    xia
    0.70
    hyde
    0.70
    jiang
    0.70
    rama
    0.69
    azy
    0.69
    itis
    0.69
    uez
    0.68
    Activations Density 0.347%

    No Known Activations