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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. 13967
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    INDEX
    Explanations

    mentions of GPU-related terms and technologies

    oai_token-act-pair · gpt-3.5-turbo

    references to GPU products and specifications

    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
    zynski
    -0.81
    orable
    -0.80
    reads
    -0.74
    esty
    -0.73
    glers
    -0.71
    obos
    -0.71
    ilic
    -0.69
    email
    -0.69
    ococ
    -0.68
    trap
    -0.68
    POSITIVE LOGITS
    PDATE
    1.40
     GPUs
    1.21
     GTX
    1.13
     Quadro
    1.12
     GeForce
    1.09
    GPU
    1.07
     Nvidia
    1.07
     GPU
    1.06
     SLI
    1.00
    vidia
    0.93
    Activations Density 0.059%

    No Known Activations