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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. 11-RES-JB
    11. 11290
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    Explanations

    words related to computer hardware and software, specifically NVIDIA and AMD products

    oai_token-act-pair · gpt-3.5-turbo

    technical specifications and details related to graphics hardware

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pod
    -0.90
    Baltimore
    -0.88
     improvis
    -0.88
     spont
    -0.87
     Berks
    -0.83
     lobster
    -0.82
     Tsarnaev
    -0.82
     Weiner
    -0.81
     burgl
    -0.81
    Pod
    -0.79
    POSITIVE LOGITS
     AMD
    1.94
     GPUs
    1.92
     Nvidia
    1.91
     Radeon
    1.89
     GTX
    1.82
     GeForce
    1.79
     NVIDIA
    1.78
     GPU
    1.78
    AMD
    1.73
    GPU
    1.70
    Activations Density 0.250%

    No Known Activations