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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. 3516
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    Explanations

    words related to wealth and economic status

    oai_token-act-pair · gpt-3.5-turbo

    terms related to health and wealth

    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
    âĸ¬âĸ¬
    -0.80
    PRESS
    -0.77
    BLE
    -0.73
    CHR
    -0.72
    SHIP
    -0.71
    VICE
    -0.69
    ãĤ´
    -0.67
     NCT
    -0.66
    BOOK
    -0.66
     PAT
    -0.65
    POSITIVE LOGITS
    acus
    1.11
    iless
    1.09
    ocrats
    0.97
    alth
    0.94
    ooth
    0.93
    azar
    0.91
    omon
    0.88
    ier
    0.87
    sonian
    0.87
    ury
    0.86
    Activations Density 0.009%

    No Known Activations