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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. 4-RES-JB
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    Explanations

    references to a specific brand or company called "Buzz."

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the term "Buzz" in relation to media content

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

    No Comments

    Negative Logits
    esthetic
    -0.84
    senal
    -0.81
     extrem
    -0.78
     Pradesh
    -0.75
    sembly
    -0.73
     resemb
    -0.73
     ende
    -0.72
     conflic
    -0.71
    izations
    -0.69
    cussion
    -0.69
    POSITIVE LOGITS
    feed
    1.09
     Buzz
    1.03
     Allen
    0.90
     Ald
    0.85
    esy
    0.84
    ards
    0.81
    arro
    0.81
    arded
    0.81
    Flash
    0.79
    Buzz
    0.78
    Activations Density 0.010%

    No Known Activations