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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. 6-RES-JB
    6. 6665
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    Explanations

    terms related to the level or extent of something

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate the extent of something, particularly related to government and economic issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    reddits
    -0.76
    monton
    -0.69
    ools
    -0.68
    paces
    -0.67
    uay
    -0.66
    enium
    -0.65
    center
    -0.65
    sters
    -0.64
    enery
    -0.64
    isse
    -0.64
    POSITIVE LOGITS
     hostilities
    1.05
     devastation
    0.86
     disbelief
    0.79
    catentry
    0.79
     coverage
    0.77
     trauma
    0.75
     disruption
    0.74
     casualties
    0.73
    inventoryQuantity
    0.73
     disagreement
    0.73
    Activations Density 0.127%

    No Known Activations