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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. 7-RES-JB
    6. 5909
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    Explanations

    references to specific Intel processors

    oai_token-act-pair · gpt-3.5-turbo

    references to Intel products and specifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    gery
    -0.82
    pee
    -0.81
    iatrics
    -0.72
    pees
    -0.70
     Antar
    -0.69
    hirt
    -0.69
    bish
    -0.68
    glers
    -0.66
    geoning
    -0.66
    rouse
    -0.66
    POSITIVE LOGITS
    iture
    0.96
     Corporation
    0.86
     Labs
    0.84
    ®
    0.81
     Extreme
    0.81
     Xeon
    0.81
    Performance
    0.77
    omics
    0.75
     processors
    0.74
    Intel
    0.74
    Activations Density 0.021%

    No Known Activations