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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. 6-RES-JB
    11. 17333
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    Explanations

    words related to historical events or figures, specifically related to financial or political incidents

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Lehman Brothers and related financial terminology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    endez
    -0.73
    nels
    -0.72
    Cass
    -0.71
    cible
    -0.71
    adeon
    -0.71
    acre
    -0.71
    ectar
    -0.69
    staking
    -0.69
     Gale
    -0.68
    stasy
    -0.67
    POSITIVE LOGITS
    rop
    0.81
    liner
    0.78
    ypes
    0.77
    isen
    0.75
    rals
    0.75
    bugs
    0.69
    ereo
    0.69
    wart
    0.69
    ral
    0.67
    rift
    0.66
    Activations Density 0.049%

    No Known Activations