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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 1-RES-JB
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    terms related to extremism and terrorist groups

    oai_token-act-pair · gpt-3.5-turbo

    terms related to extremism and extremist groups

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    feet
    -0.73
    stone
    -0.71
    ships
    -0.70
     Mamm
    -0.70
    gio
    -0.68
    DAY
    -0.67
    eries
    -0.67
    ust
    -0.66
    Vel
    -0.65
    yards
    -0.64
    POSITIVE LOGITS
     extremists
    1.18
     extremist
    1.16
     extremism
    1.09
     guiActiveUn
    0.94
     radicals
    0.92
     ideology
    0.90
     terrorists
    0.85
     indoctr
    0.84
     ideologies
    0.82
    querque
    0.80
    Activations Density 0.006%

    No Known Activations