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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. 9388
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    Explanations

    postal codes or other numerical identifiers used in different locations

    oai_token-act-pair · gpt-3.5-turbo

    instances of significant numerical references or categorizations

    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
     Spectre
    -0.72
     veter
    -0.69
     Frenzy
    -0.69
     Versus
    -0.68
    lyak
    -0.67
     Contra
    -0.67
     perks
    -0.62
     Flesh
    -0.61
     perk
    -0.61
     disadvant
    -0.61
    POSITIVE LOGITS
    English
    0.99
    isine
    0.95
    abulary
    0.86
    "}],"
    0.81
    Attach
    0.79
    Posted
    0.79
    Population
    0.78
    podcast
    0.75
    Subject
    0.75
    dayName
    0.74
    Activations Density 0.082%

    No Known Activations