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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. 9-RES-JB
    6. 10604
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    INDEX
    Explanations

    indefinite articles 'a' or 'an' followed by an adjective and a noun

    oai_token-act-pair · gpt-3.5-turbo

    articles and quantifiers describing entities or groups

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Plans
    -0.60
     intentions
    -0.60
     deals
    -0.58
     dealings
    -0.57
     agreements
    -0.57
     papers
    -0.57
     boots
    -0.54
     tunnels
    -0.54
     unresolved
    -0.54
    Oracle
    -0.54
    POSITIVE LOGITS
    uras
    1.04
    unts
    1.01
    gh
    1.00
     subset
    1.00
     bunch
    0.98
     rarity
    0.91
     dime
    0.85
     staple
    0.85
     couple
    0.84
    versive
    0.84
    Activations Density 0.176%

    No Known Activations