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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. 5-RES-JB
    6. 6007
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to funding and budget allocations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Oracle
    -0.96
    âĢ¢âĢ¢âĢ¢âĢ¢
    -0.76
    ARDS
    -0.75
    icle
    -0.74
    jad
    -0.71
    KING
    -0.71
    ening
    -0.71
    liners
    -0.70
    uber
    -0.70
    ened
    -0.69
    POSITIVE LOGITS
    itures
    1.10
     appropriations
    0.95
     subcommittee
    0.92
    ngth
    0.89
    ments
    0.88
     appropriation
    0.87
     Appropriations
    0.84
    mble
    0.81
    iture
    0.80
    staking
    0.79
    Activations Density 0.043%

    No Known Activations