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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. 15392
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    Explanations

    mentions of events or actions that provoke strong reactions and protests

    oai_token-act-pair · gpt-3.5-turbo

    instances of events or actions that lead to public reactions or protests

    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
     Poss
    -0.71
    pure
    -0.64
     assimil
    -0.64
     faithfully
    -0.63
    soever
    -0.62
     isEnabled
    -0.62
     Proper
    -0.60
    enery
    -0.59
     Present
    -0.59
    resents
    -0.59
    POSITIVE LOGITS
     rethink
    0.96
     backlash
    0.84
     ire
    0.84
     mockery
    0.76
    lash
    0.75
     closure
    0.73
     reconsider
    0.73
     resignation
    0.72
     lockdown
    0.72
     inquiry
    0.71
    Activations Density 0.539%

    No Known Activations