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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. 10-RES-JB
    6. 2550
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    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
    interstitial
    -0.71
    DragonMagazine
    -0.67
     Difference
    -0.66
    owe
    -0.62
    ļé
    -0.60
    advertising
    -0.60
    IP
    -0.59
     DRAG
    -0.59
     Editorial
    -0.57
    ilts
    -0.57
    POSITIVE LOGITS
     than
    1.31
     closely
    1.24
     efficiently
    1.21
     broadly
    1.16
     accurately
    1.14
     aggressively
    1.12
     prominently
    1.07
     importantly
    1.06
     tightly
    1.05
     harshly
    1.04
    Activations Density 0.086%

    No Known Activations