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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 19087
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    INDEX
    Explanations

    phrases related to the setting or location of events

    oai_token-act-pair · gpt-3.5-turbo

    contexts or settings for stories or narratives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     actionGroup
    -0.79
     dividends
    -0.75
     Flavoring
    -0.75
     knack
    -0.73
     sniff
    -0.70
     brakes
    -0.69
     enzyme
    -0.69
     diligence
    -0.68
     privileges
    -0.67
     patience
    -0.65
    POSITIVE LOGITS
     dystopian
    1.12
     backdrop
    1.02
     fictional
    0.98
     dystop
    0.95
     circa
    0.82
     medieval
    0.82
    ieval
    0.82
     ruins
    0.79
     1941
    0.79
     futuristic
    0.78
    Activations Density 0.198%

    No Known Activations