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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. 4850
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    Explanations

    phrases related to causation or reasoning

    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
    agues
    -0.86
    soever
    -0.73
    iband
    -0.71
    isode
    -0.70
    és
    -0.69
    Goal
    -0.68
    MRI
    -0.68
    strate
    -0.67
    apa
    -0.67
    gui
    -0.67
    POSITIVE LOGITS
     fact
    1.57
     absence
    1.28
     lack
    1.28
     cumbers
    1.26
     presence
    1.25
     sheer
    1.24
     impossibility
    1.23
     severity
    1.18
     possibility
    1.16
     importance
    1.15
    Activations Density 0.263%

    No Known Activations