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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. 2-RES-JB
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    Explanations

    keywords related to computer memory management and errors

    oai_token-act-pair · gpt-3.5-turbo

    components related to error messages and memory management in programming

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    olitan
    -0.88
    anto
    -0.78
    ilda
    -0.78
    hur
    -0.76
    ackle
    -0.75
    iverpool
    -0.75
    enegger
    -0.73
     lett
    -0.72
    llah
    -0.71
    soDeliveryDate
    -0.69
    POSITIVE LOGITS
     OpenGL
    1.00
     shader
    0.96
    Memory
    0.96
     Cache
    0.91
     Texture
    0.91
    Cache
    0.88
     Vulkan
    0.85
     Runtime
    0.85
    Native
    0.84
    Debug
    0.84
    Activations Density 0.336%

    No Known Activations