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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. 1-RES-JB
    11. 22937
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    Explanations

    phrases related to jars and containers

    oai_token-act-pair · gpt-3.5-turbo

    references to jars

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Fighting
    -0.76
     Hedge
    -0.73
     Resistance
    -0.68
    nesota
    -0.68
     Universities
    -0.64
     Reform
    -0.63
    Published
    -0.63
    enhagen
    -0.62
    agonists
    -0.62
     Ath
    -0.61
    POSITIVE LOGITS
     jars
    1.57
     jar
    1.41
    Jar
    1.07
     flask
    1.05
    jar
    0.87
    ware
    0.85
    iculture
    0.81
     containers
    0.81
    ocular
    0.81
    istry
    0.81
    Activations Density 0.007%

    No Known Activations