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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
    11. 8804
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    Explanations

    references to imaging techniques and medical devices, particularly MRI scans and microscopes

    oai_token-act-pair · gpt-3.5-turbo

    terms related to medical imaging technologies

    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
    coming
    -0.83
     Idle
    -0.80
    iston
    -0.79
    Finish
    -0.77
    spring
    -0.72
    orthy
    -0.70
    cair
    -0.70
    cake
    -0.69
    added
    -0.68
    kil
    -0.68
    POSITIVE LOGITS
    MRI
    1.24
     scanners
    1.17
     scanner
    1.04
     MRI
    1.03
     scans
    1.03
     disse
    0.92
     scan
    0.91
     imaging
    0.86
    senal
    0.81
     Surgery
    0.80
    Activations Density 0.014%

    No Known Activations