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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. 4214
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    Explanations

    ingredients and steps in a cooking recipe

    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
    arious
    -0.83
    aber
    -0.76
    Own
    -0.72
    ãĤ´ãĥ³
    -0.66
     Answers
    -0.66
    åŃ
    -0.65
    Commerce
    -0.64
    Obj
    -0.64
    Laughs
    -0.63
    Financial
    -0.63
    POSITIVE LOGITS
     sprinkle
    1.11
     then
    1.08
     prest
    1.03
     vo
    1.02
     stir
    1.00
     squeeze
    0.98
     rinse
    0.97
     refriger
    0.95
     drain
    0.94
     scrape
    0.93
    Activations Density 0.087%

    No Known Activations