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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. 1-RES-JB
    11. 7988
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    Explanations

    terms related to a specific car manufacturer

    oai_token-act-pair · gpt-3.5-turbo

    references to automation and automakers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    Water
    -0.78
     Water
    -0.78
    water
    -0.74
     Wet
    -0.72
    Magikarp
    -0.72
    patrick
    -0.71
    lihood
    -0.69
    Ward
    -0.69
    vere
    -0.68
     Brewer
    -0.68
    POSITIVE LOGITS
     autom
    1.53
     automate
    1.04
    auga
    1.01
    ocrat
    0.95
    agically
    0.95
    Autom
    0.92
     resil
    0.89
     locom
    0.88
    ocom
    0.86
    odied
    0.86
    Activations Density 0.006%

    No Known Activations