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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. 3577
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    Explanations

    phrases related to industries or economic matters

    oai_token-act-pair · gpt-3.5-turbo

    words related to industry and its various aspects

    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
    alien
    -0.71
     hiber
    -0.68
     runaway
    -0.68
     lifeless
    -0.68
     neut
    -0.68
     abort
    -0.66
     Xperia
    -0.62
     damn
    -0.62
     jury
    -0.61
    udeb
    -0.61
    POSITIVE LOGITS
    naire
    0.94
    ry
    0.83
    Guide
    0.81
     Leading
    0.79
     Components
    0.75
    stals
    0.74
    Mania
    0.72
    RY
    0.71
    craft
    0.70
    hm
    0.68
    Activations Density 0.028%

    No Known Activations