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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. 11-RES-JB
    11. 5232
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    venture
    -0.84
    Depth
    -0.74
    hov
    -0.73
     hardness
    -0.72
    eway
    -0.67
     handling
    -0.66
     servicing
    -0.66
    abiding
    -0.63
    APTER
    -0.63
     averaging
    -0.62
    POSITIVE LOGITS
     banners
    1.61
     posters
    1.46
     banner
    1.40
     signs
    1.37
     plac
    1.31
     flags
    1.24
     torches
    1.23
     swast
    1.20
     candles
    1.20
     stickers
    1.19
    Activations Density 0.215%

    No Known Activations