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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. 4-RES-JB
    11. 16030
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    Explanations

    words related to business management and economics

    oai_token-act-pair · gpt-3.5-turbo

    terms related to management and organizational transformation

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

    No Comments

    Negative Logits
    Merit
    -0.79
    LOS
    -0.61
    î
    -0.59
    tnc
    -0.59
    des
    -0.58
    Gene
    -0.57
    wx
    -0.55
    wp
    -0.55
    thur
    -0.54
    éĸ
    -0.54
    POSITIVE LOGITS
     rul
    0.73
     roared
    0.61
     equivalents
    0.61
     collided
    0.59
     shifted
    0.58
    rique
    0.58
     crept
    0.57
     experimented
    0.55
     succeeded
    0.55
     skelet
    0.54
    Activations Density 2.119%

    No Known Activations