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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. 10-RES-JB
    11. 7217
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    Explanations

    proper nouns related to various universities, theaters, and individuals named "Marquez."

    oai_token-act-pair · gpt-3.5-turbo

    references to specific locations, particularly places with the name "Marqu."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Hulk
    -0.67
     Canterbury
    -0.66
     Glou
    -0.65
     Somali
    -0.64
     Som
    -0.61
     Manila
    -0.61
     Roma
    -0.60
     Prayer
    -0.60
     Edison
    -0.60
     comfort
    -0.59
    POSITIVE LOGITS
    ety
    1.10
    ies
    1.08
    etry
    1.07
    atical
    1.03
    isco
    1.02
    ette
    1.01
    ij
    1.00
    etic
    0.99
    ipe
    0.98
    acy
    0.98
    Activations Density 0.051%

    No Known Activations