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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. 6-RES-JB
    6. 8852
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    Explanations

    terms related to extremism or radicalism

    oai_token-act-pair · gpt-3.5-turbo

    references to extremism or extreme behavior

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gerald
    -0.70
     Labrador
    -0.63
    REF
    -0.61
     steroids
    -0.59
     McCabe
    -0.58
     behold
    -0.57
     Journals
    -0.56
     Tec
    -0.56
     Bai
    -0.55
     Hath
    -0.55
    POSITIVE LOGITS
    antle
    1.16
    phasis
    1.12
    nants
    1.09
    nant
    1.09
    arkable
    1.06
    ovable
    1.02
    acy
    1.00
    ploy
    0.99
    essage
    0.98
    ittance
    0.98
    Activations Density 0.011%

    No Known Activations