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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. 20991
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    Explanations

    phrases related to fundamental concepts or basics

    oai_token-act-pair · gpt-3.5-turbo

    references to foundational concepts or basics in various contexts

    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
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    Negative Logits
    ated
    -0.62
    asus
    -0.62
    issions
    -0.60
    missions
    -0.59
    war
    -0.58
    onel
    -0.58
     sclerosis
    -0.58
    Sus
    -0.58
    iable
    -0.57
    appa
    -0.57
    POSITIVE LOGITS
    chool
    0.86
    layer
    0.82
    cape
    0.80
    matter
    0.74
     basics
    0.73
     Bunny
    0.72
    linger
    0.71
    heet
    0.70
    yip
    0.68
    ynthesis
    0.68
    Activations Density 0.026%

    No Known Activations