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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. 5-RES-JB
    6. 5966
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    terms related to law and government regulations

    oai_token-act-pair · gpt-3.5-turbo

    the symbol 'ľ' associated with various contexts or themes in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     condem
    -0.89
    raints
    -0.78
    stadt
    -0.74
     apes
    -0.74
    enegger
    -0.69
     Journals
    -0.68
     Seym
    -0.65
     Norn
    -0.64
     conduc
    -0.64
     mounts
    -0.64
    POSITIVE LOGITS
    ï¸ı
    0.99
    vernment
    0.98
    uthor
    0.98
    âĶĢâĶĢ
    0.95
    \-
    0.92
    ishable
    0.85
    °
    0.83
    lean
    0.82
    âĢł
    0.81
    cffffcc
    0.81
    Activations Density 0.169%

    No Known Activations