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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. 16207
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    Explanations

    numerical data related to populations, estimates, and statistics

    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
     angle
    -0.71
     angles
    -0.66
    conom
    -0.65
     smoot
    -0.64
     Credit
    -0.61
     angled
    -0.61
     offsets
    -0.60
     elbows
    -0.60
     heater
    -0.60
     horizont
    -0.60
    POSITIVE LOGITS
    population
    0.96
     327
    0.93
     tens
    0.93
    undreds
    0.92
     500
    0.91
     fewer
    0.90
     350
    0.90
     thous
    0.89
     700
    0.89
     325
    0.89
    Activations Density 0.275%

    No Known Activations