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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. 9-RES-JB
    11. 5797
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    specific times of the day expressed in the format "X a.m."

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ahime
    -0.77
    Contents
    -0.62
     Inher
    -0.59
     acknowled
    -0.56
     Leilan
    -0.55
     Iw
    -0.55
     envy
    -0.55
     Annotations
    -0.54
     Alphabet
    -0.54
     foundations
    -0.54
    POSITIVE LOGITS
    rouse
    0.80
    clock
    0.75
     week
    0.74
    .,
    0.74
    pm
    0.72
     morning
    0.72
    ught
    0.72
    posium
    0.70
     noon
    0.67
    aturday
    0.66
    Activations Density 0.017%

    No Known Activations