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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. 21479
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    Explanations

    words related to transportation or travel

    oai_token-act-pair · gpt-3.5-turbo

    references to significant events or specific actions taken by individuals

    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
     Kass
    -0.82
    alty
    -0.80
     Zip
    -0.77
     lash
    -0.75
     Karma
    -0.75
     bail
    -0.74
     Kit
    -0.74
    RL
    -0.73
     Zak
    -0.73
     TF
    -0.72
    POSITIVE LOGITS
    NetMessage
    0.87
    ENE
    0.86
    oren
    0.84
    ene
    0.79
     utilized
    0.78
    ENN
    0.75
    ournal
    0.75
     utilize
    0.74
    enes
    0.74
     utilizes
    0.74
    Activations Density 0.448%

    No Known Activations