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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. 10-RES-JB
    11. 8463
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    Explanations

    phrases related to decision-making

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oing
    -0.76
    uctions
    -0.72
    acements
    -0.71
    ubric
    -0.70
    ammers
    -0.66
    oil
    -0.64
    uga
    -0.63
    udi
    -0.62
    rylic
    -0.61
    ocused
    -0.61
    POSITIVE LOGITS
     whether
    1.36
     how
    0.98
    whether
    0.95
     between
    0.93
     if
    0.86
     upon
    0.85
     beforehand
    0.84
     what
    0.84
     Whether
    0.84
     unanimously
    0.83
    Activations Density 0.045%

    No Known Activations