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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. 1-RES-JB
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    Explanations

    mentions of different types of technology processors

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of processors used in technology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ewitness
    -0.76
    hur
    -0.73
    {"
    -0.71
     Guan
    -0.69
    irt
    -0.69
    reek
    -0.67
    shirt
    -0.66
    ead
    -0.65
    lict
    -0.63
    izons
    -0.63
    POSITIVE LOGITS
     processors
    1.25
     processor
    1.17
    processor
    1.10
     Processor
    0.93
    DAQ
    0.86
     CPUs
    0.85
     chip
    0.83
     chipset
    0.82
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    0.80
    otle
    0.79
    Activations Density 0.012%

    No Known Activations