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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. 7-RES-JB
    11. 18622
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    Explanations

    terms related to wartime activities and emergency measures

    oai_token-act-pair · gpt-3.5-turbo

    references to wartime contexts and situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aido
    -0.95
    essee
    -0.94
    bro
    -0.91
    quet
    -0.90
    erie
    -0.90
    hammer
    -0.90
    vier
    -0.89
    ault
    -0.88
    circle
    -0.86
    abet
    -0.85
    POSITIVE LOGITS
     nightmare
    0.73
     unemployment
    0.73
     nightmares
    0.68
     significance
    0.66
     adversity
    0.66
     manslaughter
    0.65
    NZ
    0.65
     fallout
    0.65
     fare
    0.64
     mayhem
    0.64
    Activations Density 0.067%

    No Known Activations