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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. 7298
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    Explanations

    phrases related to scanning devices, especially highlighting MRI and security scanners

    oai_token-act-pair · gpt-3.5-turbo

    keywords related to various types of scanners

    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
    hov
    -0.85
    erest
    -0.71
     Sacrifice
    -0.69
    doms
    -0.69
    do
    -0.69
    mits
    -0.68
    soDeliveryDate
    -0.68
    Beat
    -0.66
    croft
    -0.65
    hab
    -0.65
    POSITIVE LOGITS
     scanner
    1.48
     scanners
    1.39
     scanning
    1.03
    anguage
    0.94
     scans
    0.86
     cutter
    0.83
     scanned
    0.82
     scan
    0.78
    alysis
    0.77
     flare
    0.77
    Activations Density 0.010%

    No Known Activations