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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. 0-RES-JB
    6. 10701
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    Explanations

    text related to bans or prohibitions on certain actions or behaviors

    oai_token-act-pair · gpt-3.5-turbo

    references to bans or prohibitions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Dig
    -0.71
    dden
    -0.70
    esta
    -0.67
    cture
    -0.66
     enterprise
    -0.66
     Square
    -0.65
    ×Ķ
    -0.65
    Function
    -0.65
     formula
    -0.63
     impression
    -0.62
    POSITIVE LOGITS
     bans
    3.99
     Bans
    2.60
     banning
    2.06
     ban
    1.87
     prohibitions
    1.87
     banned
    1.84
    Ban
    1.55
    ban
    1.37
     punishments
    1.33
     outlaw
    1.31
    Activations Density 0.016%

    No Known Activations