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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 2313
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    Explanations

    names related to people and places, particularly with 'Rus', 'Rox', or 'Rut'

    oai_token-act-pair · gpt-3.5-turbo

    names related to individuals and organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĺħ
    -0.79
    holders
    -0.75
     conspicuous
    -0.70
     quarters
    -0.67
     germ
    -0.67
    holder
    -0.64
     Sinclair
    -0.62
     portable
    -0.62
    ŃĶ
    -0.61
    ocaust
    -0.60
    POSITIVE LOGITS
    byss
    1.14
    sel
    1.08
    kin
    1.03
    brid
    1.00
    kies
    0.96
    ky
    0.95
    sell
    0.94
    sels
    0.92
    coe
    0.91
    ques
    0.91
    Activations Density 0.036%

    No Known Activations