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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. 17696
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    Explanations

    words related to political or organizational policies

    oai_token-act-pair · gpt-3.5-turbo

    references to government policies

    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
    thouse
    -0.80
    rez
    -0.80
     Sabha
    -0.74
    semble
    -0.69
    naissance
    -0.65
     Ort
    -0.64
     sensation
    -0.64
    iever
    -0.64
    zzi
    -0.64
     Ou
    -0.62
    POSITIVE LOGITS
     policies
    3.63
     Policies
    2.95
     policy
    2.40
    policy
    2.05
     Policy
    1.92
    Policy
    1.92
     laws
    1.61
     stances
    1.61
     initiatives
    1.53
     strategies
    1.53
    Activations Density 0.015%

    No Known Activations