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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. 8175
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases related to taking action and making a difference

    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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    Negative Logits
     MAX
    -0.66
     Sapp
    -0.59
    istor
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     Hamburg
    -0.56
    nor
    -0.55
     Hann
    -0.54
     brill
    -0.53
     Hilton
    -0.52
     Chao
    -0.52
     Azerb
    -0.52
    POSITIVE LOGITS
    SPONSORED
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    interstitial
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    icol
    0.60
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    btn
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    bleacher
    0.58
    Topics
    0.56
    ainment
    0.56
    usat
    0.55
    Activations Density 0.031%

    No Known Activations