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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 20910
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    Explanations

    names of technology-related products/entities, particularly related to graphics processing units (GPUs)

    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 @ 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
    obos
    -0.88
    reads
    -0.77
    email
    -0.76
    orable
    -0.74
    esty
    -0.70
    chin
    -0.69
    mone
    -0.67
    worthy
    -0.66
    ococ
    -0.65
    omon
    -0.65
    POSITIVE LOGITS
    PDATE
    1.32
     GPUs
    1.13
    GPU
    1.08
     Quadro
    1.04
     GPU
    1.02
     GeForce
    0.94
    NVIDIA
    0.92
     Nvidia
    0.91
     SLI
    0.88
     GTX
    0.86
    Activations Density 0.029%

    No Known Activations