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    1. Home
    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
    6. 8250
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    Explanations

    words related to classified information

    oai_token-act-pair · gpt-3.5-turbo
    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
    annis
    -0.83
    soDeliveryDate
    -0.76
    Kay
    -0.70
    htar
    -0.70
    hner
    -0.68
    alach
    -0.66
    Virgin
    -0.66
    LI
    -0.66
    kj
    -0.64
     Beard
    -0.64
    POSITIVE LOGITS
     briefings
    1.26
     documents
    1.07
     material
    1.02
     information
    1.01
     markings
    0.98
     intel
    0.98
     materials
    0.94
     papers
    0.92
    oslov
    0.85
     briefing
    0.85
    Activations Density 0.038%

    No Known Activations