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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. 1-RES-JB
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    Explanations

    references to a specific vehicle model, "Bronco."

    oai_token-act-pair · gpt-3.5-turbo

    references to the "Bronco" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     counseling
    -0.69
    ARR
    -0.66
     salvage
    -0.66
    EPA
    -0.66
     crashing
    -0.63
     fabrication
    -0.63
     caution
    -0.62
     Archangel
    -0.62
    ministic
    -0.60
     underwater
    -0.59
    POSITIVE LOGITS
    zsche
    0.95
    folios
    0.92
    terson
    0.92
    cho
    0.89
    ois
    0.88
    ophobia
    0.87
    ggles
    0.86
    zos
    0.85
    sts
    0.83
    olkien
    0.82
    Activations Density 0.022%

    No Known Activations