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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. 11-RES-JB
    11. 2729
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    Explanations

    imperative verb phrases prompting the reader to look at something

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "look" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    âĹ¼
    -0.67
    76561
    -0.62
    "},"
    -0.61
    CENT
    -0.58
     Unloaded
    -0.57
    ille
    -0.57
    RIC
    -0.56
    EStreamFrame
    -0.56
     RFC
    -0.54
    ItemImage
    -0.54
    POSITIVE LOGITS
     whence
    0.84
    ppe
    0.79
     how
    0.78
    who
    0.74
    what
    0.73
    outs
    0.72
    ed
    0.72
     closely
    0.71
    verning
    0.69
    !:
    0.69
    Activations Density 0.030%

    No Known Activations