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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. 2-RES-JB
    11. 19661
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    Explanations

    phrases related to goals or objectives

    oai_token-act-pair · gpt-3.5-turbo

    statements about objectives or goals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    Versions
    -0.73
     jaws
    -0.71
    --------------------------------------------------------
    -0.63
    Edited
    -0.63
    Luck
    -0.62
     fluids
    -0.61
    BuyableInstoreAndOnline
    -0.61
    windows
    -0.61
     Geological
    -0.60
    Witness
    -0.60
    POSITIVE LOGITS
     Goal
    1.00
    Goal
    0.93
    posts
    0.93
    goal
    0.92
     goal
    0.91
     kicker
    0.77
    lessly
    0.73
    gha
    0.71
    irement
    0.70
     goals
    0.69
    Activations Density 0.023%

    No Known Activations