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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. 3-RES-JB
    11. 9248
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    Explanations

    keywords related to specific financial institutions or entities

    oai_token-act-pair · gpt-3.5-turbo

    references to specific organizations or institutions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ARDS
    -0.78
    FACE
    -0.71
    PLIED
    -0.68
    âĢ¢âĢ¢âĢ¢âĢ¢
    -0.67
    dress
    -0.64
    ++++++++++++++++
    -0.63
    ARD
    -0.62
    ULTS
    -0.62
    Franc
    -0.61
     Penet
    -0.61
    POSITIVE LOGITS
     Sabha
    1.44
     Lok
    1.32
     Pradesh
    1.07
    ataka
    0.99
    itte
    0.96
    ileaks
    0.95
     Pok
    0.85
    aji
    0.84
    unda
    0.84
    isma
    0.83
    Activations Density 0.011%

    No Known Activations