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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. 9-RES-JB
    11. 22885
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    Explanations

    actions related to data management and transactions

    oai_token-act-pair · gpt-3.5-turbo

    actions related to sending and storing digital information or currency

    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
    obia
    -0.78
    ĸļ
    -0.76
    gypt
    -0.75
    hoe
    -0.74
    iferation
    -0.72
     Antar
    -0.71
     condem
    -0.70
    usra
    -0.70
    alian
    -0.68
    avia
    -0.66
    POSITIVE LOGITS
     data
    1.07
     notifications
    1.00
     information
    1.00
     arbitrary
    0.98
     messages
    0.95
     transactions
    0.95
     inputs
    0.94
     goods
    0.93
     incoming
    0.92
     passwords
    0.92
    Activations Density 0.324%

    No Known Activations