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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. 8484
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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
    enez
    -0.75
    zzle
    -0.74
     cac
    -0.64
    sburgh
    -0.62
    pes
    -0.61
    ensing
    -0.61
    fitting
    -0.61
    berman
    -0.61
    -+
    -0.60
    gain
    -0.60
    POSITIVE LOGITS
    ĸļ
    1.12
     Chapters
    0.90
     chapters
    0.87
    naire
    0.85
    icularly
    0.81
     Sevent
    0.79
    naires
    0.77
     Prol
    0.74
     IX
    0.72
     chapter
    0.72
    Activations Density 0.020%

    No Known Activations