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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 4-RES-JB
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    Explanations

    words related to radicalization and extremism, especially in Islamic context

    oai_token-act-pair · gpt-3.5-turbo

    terms related to radicalization and Islamic extremism

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

    No Comments

    Negative Logits
     Veter
    -0.79
     Lunar
    -0.73
     Zup
    -0.70
     mammal
    -0.69
     Mamm
    -0.69
    galitarian
    -0.66
    çĦ
    -0.65
     Celest
    -0.64
     Aph
    -0.63
    cknowled
    -0.63
    POSITIVE LOGITS
     extremism
    0.96
     tendencies
    0.88
     extremist
    0.88
     insurgents
    0.86
     extremists
    0.85
     jihadists
    0.84
     jihad
    0.82
     terrorists
    0.82
     fanatic
    0.81
     sectarian
    0.80
    Activations Density 0.040%

    No Known Activations