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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. 13659
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    INDEX
    Explanations

    ingredients and instructions for cooking a recipe

    oai_token-act-pair · gpt-3.5-turbo

    quantifiable measurement units and ingredient quantities in recipes

    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
     relat
    -0.83
     funn
    -0.79
     staffed
    -0.78
     regress
    -0.76
     univers
    -0.75
     coordinated
    -0.75
     responding
    -0.74
     penal
    -0.74
     dehuman
    -0.74
     athlet
    -0.74
    POSITIVE LOGITS
    Instruct
    1.60
    Salt
    1.56
    Direct
    1.51
    METHOD
    1.49
    ½
    1.49
    Optional
    1.46
    Method
    1.46
    Heat
    1.44
    Ingredients
    1.42
    Oil
    1.39
    Activations Density 0.033%

    No Known Activations