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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. 11-RES-JB
    11. 5357
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    Explanations

    mentions of locations, especially ones related to communities or businesses

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "Oak" and related geographic or organizational entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enance
    -0.80
    undo
    -0.77
    innie
    -0.75
     steroids
    -0.67
    glomer
    -0.63
    ukong
    -0.62
     steroid
    -0.62
    ICT
    -0.60
     dirty
    -0.59
     menstru
    -0.59
    POSITIVE LOGITS
    leaf
    1.38
    cone
    1.25
    hurst
    1.19
    croft
    1.19
     Ridge
    1.18
    brook
    1.18
    wood
    1.18
     Leaf
    1.16
     Grove
    1.15
    tree
    1.13
    Activations Density 0.087%

    No Known Activations