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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. 14488
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    Explanations

    biblical references and quotations

    oai_token-act-pair · gpt-3.5-turbo
    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
    Not in Any Lists

    No Comments

    Negative Logits
     srfAttach
    -0.80
     Derby
    -0.79
     graphene
    -0.77
    umenthal
    -0.76
    orescence
    -0.73
    alyses
    -0.72
     coordinated
    -0.70
    chwitz
    -0.69
     treadmill
    -0.68
    ategor
    -0.68
    POSITIVE LOGITS
     Romans
    1.09
    Ö¼
    1.02
    Narr
    1.00
     Exodus
    0.97
     verse
    0.96
     Verse
    0.94
     Ezekiel
    0.94
     Apostle
    0.94
     Psal
    0.93
     Interpret
    0.91
    Activations Density 0.096%

    No Known Activations