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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
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    Explanations

    expressions related to taking things seriously or being taken seriously

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "seriously."

    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
    ifully
    -0.84
    tein
    -0.77
    eer
    -0.69
     arrivals
    -0.68
    iful
    -0.68
    anooga
    -0.67
    atu
    -0.67
    orius
    -0.66
    AUT
    -0.66
     acquisitions
    -0.65
    POSITIVE LOGITS
    serious
    0.86
     entertained
    0.79
     seriously
    0.77
     enough
    0.74
     considering
    0.72
    minent
    0.71
     bothering
    0.71
     consider
    0.69
    relevant
    0.69
    00007
    0.69
    Activations Density 0.010%

    No Known Activations