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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
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    Nvidia graphics card models

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific graphics card models and related computer hardware terminology

    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
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    Negative Logits
     Debor
    -0.88
    mone
    -0.78
    chy
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    igree
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    icity
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    alties
    -0.68
    mingham
    -0.67
    Interstitial
    -0.65
     Petr
    -0.65
    yrinth
    -0.65
    POSITIVE LOGITS
     GTX
    1.00
     SLI
    0.85
     GPUs
    0.83
    THER
    0.78
     1080
    0.78
     TIT
    0.77
     1070
    0.76
    Boost
    0.76
     980
    0.75
    hei
    0.75
    Activations Density 0.007%

    No Known Activations