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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. 3-RES-JB
    11. 15318
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    Explanations

    processors with specific clock speeds

    oai_token-act-pair · gpt-3.5-turbo

    terms related to processor speeds

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     skelet
    -0.77
    kus
    -0.76
    alties
    -0.74
    laus
    -0.73
     Faust
    -0.71
    ean
    -0.71
     ethn
    -0.69
     Doct
    -0.68
    iatrics
    -0.68
    ROR
    -0.68
    POSITIVE LOGITS
    GHz
    1.02
     GHz
    0.92
    hz
    0.91
    MHz
    0.86
     chipset
    0.83
     MHz
    0.81
     radios
    0.80
     Processor
    0.77
     CPUs
    0.76
    plane
    0.75
    Activations Density 0.008%

    No Known Activations