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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. 2-RES-JB
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    Explanations

    mentions of specific locations, particularly cities and universities

    oai_token-act-pair · gpt-3.5-turbo

    references to specific places, particularly "Norfolk" and "Norwich."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ogun
    -0.87
    ept
    -0.77
    hner
    -0.73
    inventoryQuantity
    -0.73
    venant
    -0.70
    eding
    -0.69
    pperc
    -0.68
    pped
    -0.68
    ebook
    -0.67
    Ign
    -0.67
    POSITIVE LOGITS
     Norfolk
    1.14
     Admir
    1.07
     Suffolk
    0.94
    mouth
    0.87
     Southern
    0.80
    wich
    0.79
     Norwich
    0.76
     Mayo
    0.73
     Portsmouth
    0.72
     Spit
    0.72
    Activations Density 0.009%

    No Known Activations