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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. 4899
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    Explanations

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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
     Nightmares
    -0.84
     Nightmare
    -0.79
     Tsu
    -0.73
     Siren
    -0.70
     Sabb
    -0.68
    013
    -0.67
     Nab
    -0.67
     tiss
    -0.64
     747
    -0.64
    748
    -0.64
    POSITIVE LOGITS
    G
    1.55
    g
    1.50
    Gs
    1.47
    GC
    1.37
    GS
    1.35
    gd
    1.33
    gc
    1.32
     g
    1.30
    gel
    1.29
    gs
    1.26
    Activations Density 0.664%

    No Known Activations