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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. 3-RES-JB
    11. 21111
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    Explanations

    phrases related to automobile manufacturers

    oai_token-act-pair · gpt-3.5-turbo

    references to automobile manufacturers and related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Water
    -0.77
    water
    -0.76
     Belief
    -0.73
    Water
    -0.72
    Magikarp
    -0.72
     Dietary
    -0.72
     Intent
    -0.72
    lihood
    -0.71
    maxwell
    -0.71
    imaru
    -0.70
    POSITIVE LOGITS
     autom
    1.30
    auga
    0.93
    agically
    0.93
     automate
    0.92
    otor
    0.90
    ocrat
    0.88
    agic
    0.87
    aton
    0.86
    ocom
    0.84
    puter
    0.83
    Activations Density 0.009%

    No Known Activations