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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. 9-RES-JB
    11. 3365
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    Explanations

    verbs related to action and change

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating significant change or requirement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     greatness
    -0.59
     fame
    -0.59
     adventure
    -0.59
     hating
    -0.58
     Industries
    -0.57
     flirt
    -0.56
     moons
    -0.55
     nickname
    -0.55
     adore
    -0.54
     vibe
    -0.54
    POSITIVE LOGITS
    currently
    0.70
    maxwell
    0.70
    ãĤ¦ãĤ¹
    0.70
    âķIJâķIJ
    0.70
    ļéĨĴ
    0.70
     teasp
    0.69
    ersed
    0.69
    ¿½
    0.68
    shown
    0.68
    ith
    0.68
    Activations Density 0.660%

    No Known Activations