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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. 4697
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    Explanations

    phrases related to education, training, and organization

    oai_token-act-pair · gpt-3.5-turbo

    activities and initiatives related to education and community engagement

    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
    ©¶æ¥µ
    -0.79
    toggle
    -0.70
    Anyway
    -0.67
    tch
    -0.65
    pload
    -0.63
     GOODMAN
    -0.62
     Hollande
    -0.61
    Ĥª
    -0.59
    doesn
    -0.59
    didn
    -0.59
    POSITIVE LOGITS
     &
    1.00
     collabor
    0.92
     and
    0.91
    matic
    0.83
    disciplinary
    0.82
     insightful
    0.82
     related
    0.81
     relevant
    0.81
     perspectives
    0.79
     impacting
    0.79
    Activations Density 0.579%

    No Known Activations