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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
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    Explanations

    words related to international counterterrorism efforts

    oai_token-act-pair · gpt-3.5-turbo

    references to terrorism and security-related threats

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -1.10
    iture
    -0.76
     Speedway
    -0.75
    ETHOD
    -0.72
    ruary
    -0.72
    bernatorial
    -0.72
    felt
    -0.68
    ometry
    -0.68
    itone
    -0.67
    cknow
    -0.67
    POSITIVE LOGITS
     terrorists
    1.52
     terrorist
    1.47
     terrorism
    1.34
     extremism
    1.33
     extremist
    1.30
     malware
    1.27
     Islamist
    1.27
     criminals
    1.24
     jihadist
    1.23
     extremists
    1.22
    Activations Density 0.661%

    No Known Activations