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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. 23611
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    INDEX
    Explanations

    comparisons or contrasts between different entities

    oai_token-act-pair · gpt-3.5-turbo

    statements about distinctions and differences between various subjects or groups

    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
     preparations
    -0.80
    ãĥ¼ãĥ³
    -0.77
    SpaceEngineers
    -0.73
    dule
    -0.71
     standby
    -0.70
    OUP
    -0.68
    ittees
    -0.68
     Licensed
    -0.68
    licensed
    -0.65
     schedules
    -0.64
    POSITIVE LOGITS
    between
    1.08
     widening
    1.07
     between
    1.04
     widened
    1.03
     widen
    1.01
     stark
    1.00
     widest
    0.95
     narrowing
    0.95
     blurred
    0.94
     noticeable
    0.93
    Activations Density 0.176%

    No Known Activations