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    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. 23253
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    Explanations

    device-related terms and identifiers

    oai_token-act-pair · gpt-3.5-turbo

    references to electronic devices

    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
    steen
    -0.88
     Nights
    -0.76
    gres
    -0.75
    stad
    -0.75
    heit
    -0.74
    atorium
    -0.70
    hound
    -0.70
     Lutheran
    -0.67
     tides
    -0.66
     Kern
    -0.66
    POSITIVE LOGITS
     devices
    0.97
     Devices
    0.88
     device
    0.81
     implanted
    0.81
    awei
    0.78
     Device
    0.78
     manufacturers
    0.76
     manufacturer
    0.74
    devices
    0.73
     interfaces
    0.72
    Activations Density 0.030%

    No Known Activations