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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. 6-RES-JB
    11. 4392
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    Explanations

    phrases related to production, creation, or generation

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the concept of production or generating outcomes

    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
     Practices
    -0.71
    izon
    -0.69
    ç¥ŀ
    -0.69
    Parent
    -0.68
     Juda
    -0.68
     Advis
    -0.66
    uthor
    -0.65
    laus
    -0.63
    Management
    -0.63
     Seas
    -0.62
    POSITIVE LOGITS
     usable
    0.85
    utonium
    0.78
    aganda
    0.76
     quantities
    0.76
    ilibrium
    0.75
     greenhouse
    0.73
    cible
    0.72
     viable
    0.70
     abundantly
    0.69
     batches
    0.67
    Activations Density 0.218%

    No Known Activations