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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. 10-RES-JB
    11. 10090
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    Explanations

    technical terms and abbreviations related to medical conditions and procedures

    oai_token-act-pair · gpt-3.5-turbo

    references to cancer risk factors and medical terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Perkins
    -0.84
     Nish
    -0.81
     Fant
    -0.77
     Fuj
    -0.76
     EF
    -0.73
     fortun
    -0.73
    mens
    -0.72
    ãģ¦
    -0.71
    Fs
    -0.70
     liberals
    -0.69
    POSITIVE LOGITS
    ramid
    0.91
    catentry
    0.89
    sect
    0.88
    rows
    0.82
    Seg
    0.82
    raltar
    0.80
     Labyrinth
    0.80
    reshold
    0.80
    seq
    0.79
    astern
    0.79
    Activations Density 0.339%

    No Known Activations