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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. 1-RES-JB
    6. 4766
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    INDEX
    Explanations

    mentions of terrorist-related terms and activities

    oai_token-act-pair · gpt-3.5-turbo

    references to terrorists and related terminology

    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
    shire
    -0.76
    ership
    -0.72
     Taste
    -0.69
    irth
    -0.68
    Wo
    -0.66
    vent
    -0.65
     Wine
    -0.65
     NRS
    -0.65
    PT
    -0.65
    itor
    -0.64
    POSITIVE LOGITS
     terrorists
    1.27
     terrorist
    1.02
     bombers
    0.97
    terrorist
    0.95
     mastermind
    0.95
     gunmen
    0.92
     attackers
    0.91
    ãĥ³ãĤ¸
    0.87
    apons
    0.87
     murderers
    0.85
    Activations Density 0.008%

    No Known Activations