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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. 10-RES-JB
    6. 13007
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    INDEX
    Explanations

    phrases indicating a high degree of quality or significance

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating strong opinions or definitive statements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    artments
    -0.68
    eral
    -0.68
    ifferent
    -0.65
    istries
    -0.62
    osponsors
    -0.61
    urches
    -0.60
    yrics
    -0.59
    yss
    -0.59
    ibilities
    -0.59
    iries
    -0.59
    POSITIVE LOGITS
     underrated
    1.03
     THE
    0.95
     the
    0.87
     one
    0.86
     arguably
    0.84
     unmatched
    0.83
     coolest
    0.81
     unparalleled
    0.80
    the
    0.79
     best
    0.78
    Activations Density 0.354%

    No Known Activations