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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. 7-RES-JB
    11. 22639
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    Explanations

    phrases related to power sources and technical specifications

    oai_token-act-pair · gpt-3.5-turbo

    references to technology and power sources

    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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    Negative Logits
    ordan
    -0.79
    esan
    -0.76
    algia
    -0.71
    istani
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    innon
    -0.66
    ei
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    ebin
    -0.66
    ãģĵ
    -0.64
     Bei
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    ort
    -0.64
    POSITIVE LOGITS
     powered
    0.85
    PDATE
    0.81
    powered
    0.78
     Powered
    0.76
    inker
    0.74
     powering
    0.71
    stration
    0.70
    iences
    0.68
     ups
    0.68
     turbines
    0.68
    Activations Density 0.051%

    No Known Activations