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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. 17858
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    Explanations

    in this case, it seems the neuron is looking for instances involving the act of "preparing"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "prepare" and its variations

    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
    roma
    -0.76
    holes
    -0.69
    $$$$
    -0.62
    evil
    -0.62
    utra
    -0.62
    ochet
    -0.59
    drops
    -0.57
    addafi
    -0.56
    76561
    -0.56
    esp
    -0.56
    POSITIVE LOGITS
    itude
    0.89
     rall
    0.83
     beforehand
    0.76
     prepare
    0.75
     prepares
    0.75
    getic
    0.74
    olicy
    0.74
    TABLE
    0.72
     SERV
    0.72
    resses
    0.72
    Activations Density 0.017%

    No Known Activations