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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. 5222
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    Explanations

    phrases related to driving actions

    oai_token-act-pair · gpt-3.5-turbo
    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
     Seym
    -0.79
     Flavoring
    -0.72
    roma
    -0.67
     acknowled
    -0.65
    Ranked
    -0.64
    adian
    -0.62
    framework
    -0.60
    sett
    -0.60
    wu
    -0.59
    iliation
    -0.59
    POSITIVE LOGITS
    wheel
    0.94
     drunk
    0.91
    driving
    0.89
    train
    0.88
    past
    0.88
     motorcycles
    0.87
     away
    0.84
     BMW
    0.84
     driving
    0.81
    ways
    0.81
    Activations Density 0.056%

    No Known Activations