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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. 14789
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    INDEX
    Explanations

    verbs followed by 'to' indicating an ability or possibility

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating capability or potential actions

    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
     Coff
    -0.74
     Respons
    -0.70
    ELD
    -0.68
    prem
    -0.65
     Rising
    -0.64
    listed
    -0.64
    soDeliveryDate
    -0.63
    mails
    -0.62
     Closing
    -0.62
    backer
    -0.60
    POSITIVE LOGITS
     withstand
    1.29
     cope
    1.25
     afford
    1.24
     overcome
    1.17
     convince
    1.15
     muster
    1.15
     accommodate
    1.15
     achieve
    1.13
     penetrate
    1.11
     capitalize
    1.11
    Activations Density 0.105%

    No Known Activations