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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. 11-RES-JB
    11. 14820
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    Explanations

    words related to negative human emotions and conflict

    oai_token-act-pair · gpt-3.5-turbo

    keywords related to social issues and emotions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    eatures
    -0.74
    arnaev
    -0.73
    leys
    -0.65
    iaries
    -0.62
    ingers
    -0.61
    igers
    -0.60
    awks
    -0.59
     Deadly
    -0.59
    uscript
    -0.57
    CHAT
    -0.56
    POSITIVE LOGITS
    lessness
    1.08
    fulness
    0.94
    liness
    0.94
     whereby
    0.85
     wherein
    0.84
    ulence
    0.84
    ality
    0.81
    hood
    0.80
    smanship
    0.79
    lication
    0.77
    Activations Density 0.490%

    No Known Activations