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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 542
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    Explanations

    instances where the word "could" is used in the context of suggesting possibilities or actions one can take

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Maker
    -0.67
    holder
    -0.64
    core
    -0.63
    waters
    -0.62
    making
    -0.60
    AME
    -0.60
     Yards
    -0.59
    oric
    -0.58
    members
    -0.58
    akes
    -0.58
    POSITIVE LOGITS
     feas
    1.06
     conce
    1.01
     theoretically
    0.96
     hypot
    0.95
     foresee
    0.86
    ivably
    0.84
     tremend
    0.81
     argue
    0.81
    've
    0.80
     possibly
    0.78
    Activations Density 0.082%

    No Known Activations