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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. 4742
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    Explanations

    phrases related to societal issues and political commentary

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing emotional or moral indignation

    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
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    No Comments

    Negative Logits
    ãĤ´ãĥ³
    -0.94
    ãĥŁ
    -0.86
    20439
    -0.83
    ï¸
    -0.80
    anticipated
    -0.79
    everal
    -0.78
    wx
    -0.74
    iverpool
    -0.74
    eatures
    -0.74
    DCS
    -0.72
    POSITIVE LOGITS
     ain
    1.08
     âĢ¦"
    0.97
     everybody
    0.93
     immoral
    0.92
     ..."
    0.92
     impover
    0.90
     dehuman
    0.89
    .'"
    0.89
    ?'"
    0.88
     losers
    0.88
    Activations Density 0.447%

    No Known Activations