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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. 7741
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    INDEX
    Explanations

    adjectives describing a range of qualities from positive to negative

    oai_token-act-pair · gpt-3.5-turbo

    comparisons involving extremes, particularly in moral or ethical contexts

    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
    pta
    -0.90
    regation
    -0.86
    glers
    -0.85
    olphins
    -0.84
    EStream
    -0.81
     Flavoring
    -0.80
    ortmund
    -0.78
    Ws
    -0.77
    anwhile
    -0.77
    onds
    -0.76
    POSITIVE LOGITS
     downright
    1.17
     incomprehensible
    1.09
     indistinguishable
    1.08
     resistant
    1.07
     impossible
    1.06
     impractical
    1.06
     lacking
    1.03
     profitable
    1.02
     agreeable
    1.02
     attractive
    1.01
    Activations Density 0.477%

    No Known Activations