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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. 0-RES-JB
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    Explanations

    keywords related to the company "Nvidia" and technical specifications or issues

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the company Nvidia and its products

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Scarborough
    -0.88
     Chel
    -0.84
     Monarch
    -0.78
     Doe
    -0.77
     Cah
    -0.76
     Inspect
    -0.74
     Cole
    -0.73
    ansas
    -0.73
     peac
    -0.71
    catch
    -0.71
    POSITIVE LOGITS
     Nvidia
    2.89
     NVIDIA
    2.58
    NVIDIA
    2.32
    GPU
    2.06
     GPUs
    2.05
    vidia
    1.91
     GPU
    1.89
    gpu
    1.79
    VIDIA
    1.40
     NV
    1.32
    Activations Density 0.046%

    No Known Activations