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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. 6-RES-JB
    11. 8002
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    Explanations

    references to the company AMD

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the company AMD 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
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    Negative Logits
    glers
    -0.84
    arters
    -0.83
    vous
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    obos
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    ariat
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    arter
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    icho
    -0.71
     Doe
    -0.71
    piring
    -0.69
    pees
    -0.68
    POSITIVE LOGITS
    GPU
    1.25
     Ryzen
    0.94
    gpu
    0.93
    AMD
    0.90
     Radeon
    0.88
    PDATE
    0.74
     Corporation
    0.74
     Catalyst
    0.73
    adeon
    0.73
     GPUs
    0.73
    Activations Density 0.013%

    No Known Activations