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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. 4-RES-JB
    11. 13096
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    Explanations

    mentions of NVIDIA and related terms, particularly its products like GeForce and Tegra

    oai_token-act-pair · gpt-3.5-turbo

    references to 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 @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eur
    -0.81
    ĸļ
    -0.76
    geries
    -0.76
    handler
    -0.75
    oring
    -0.73
    chin
    -0.73
    orable
    -0.72
    angers
    -0.72
    repeat
    -0.72
    kok
    -0.71
    POSITIVE LOGITS
     Quadro
    1.11
     GPUs
    1.09
     GeForce
    1.03
    PDATE
    1.02
    NVIDIA
    1.01
     Nvidia
    1.00
    GPU
    0.97
    vidia
    0.96
     GPU
    0.96
     GTX
    0.85
    Activations Density 0.009%

    No Known Activations