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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. 2-RES-JB
    11. 3173
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    Explanations

    time-related information about food preparation

    oai_token-act-pair · gpt-3.5-turbo

    references to meal preparation and cooking

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     rights
    -0.75
     equal
    -0.74
     bargain
    -0.72
     exceptions
    -0.70
     box
    -0.69
     exchanges
    -0.68
     cage
    -0.67
     employment
    -0.65
     god
    -0.65
     mobility
    -0.65
    POSITIVE LOGITS
    jar
    0.97
    ared
    0.89
     Prep
    0.87
    zie
    0.85
    Pass
    0.84
     Flavoring
    0.81
    zek
    0.81
    itude
    0.81
    inelli
    0.81
    aring
    0.79
    Activations Density 0.018%

    No Known Activations