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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. 14770
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    Explanations

    phrases indicating a call to action or demand for change

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate calls for action or requests

    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
    alli
    -0.62
     grasp
    -0.61
     depended
    -0.61
     depend
    -0.60
    ãĤ¼ãĤ¦ãĤ¹
    -0.60
    heres
    -0.59
     digestive
    -0.59
    chanted
    -0.59
    readable
    -0.59
     overdose
    -0.58
    POSITIVE LOGITS
    ãĥ¼ãĥ³
    0.79
     Quit
    0.75
    ITNESS
    0.75
    ij士
    0.74
    ãĥ¤
    0.73
    govtrack
    0.72
    ļéĨĴ
    0.72
     hotline
    0.71
    Redditor
    0.71
    tera
    0.71
    Activations Density 0.693%

    No Known Activations