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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. 18667
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    Explanations

    ingredients and cooking instructions in a recipe

    oai_token-act-pair · gpt-3.5-turbo

    ingredients and cooking-related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    \">
    -0.63
    åŃ
    -0.60
     Buckingham
    -0.59
     headlined
    -0.59
    ãĤª
    -0.58
     ironic
    -0.58
     AUTH
    -0.56
    ãĥĩ
    -0.54
     Schne
    -0.54
    udicrous
    -0.54
    POSITIVE LOGITS
     mixture
    1.45
     evenly
    0.95
     halves
    0.94
     ingredients
    0.92
     paste
    0.86
     cubes
    0.84
     gently
    0.82
     tablespoon
    0.81
    ixture
    0.81
     flakes
    0.80
    Activations Density 0.081%

    No Known Activations