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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. 3763
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    Explanations

    cooking instructions and ingredients

    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
    abilia
    -0.79
     souven
    -0.79
    ighth
    -0.74
     helicop
    -0.74
    "}],"
    -0.68
     funer
    -0.68
     vest
    -0.67
     implants
    -0.65
     Visitors
    -0.65
    Interstitial
    -0.63
    POSITIVE LOGITS
     skillet
    0.84
     minced
    0.75
     frying
    0.72
     Blend
    0.69
     butter
    0.67
     diced
    0.67
    illon
    0.66
     tablespoon
    0.66
     mixture
    0.66
     Bake
    0.66
    Activations Density 0.117%

    No Known Activations