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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. 9-RES-JB
    11. 2759
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    Explanations

    phrases related to economic activities and community development

    oai_token-act-pair · gpt-3.5-turbo

    punctuation and sentence endings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     condol
    -0.79
     condolences
    -0.73
     allowance
    -0.73
     peace
    -0.70
     sack
    -0.69
    juries
    -0.69
     corrections
    -0.67
     peac
    -0.66
     unex
    -0.66
     extinguished
    -0.66
    POSITIVE LOGITS
     Called
    1.42
     Currently
    1.11
     Specifically
    1.08
     According
    1.07
     Inspired
    1.02
     Participants
    1.00
     Located
    0.99
    Specifically
    0.99
     Using
    0.98
     Along
    0.97
    Activations Density 0.469%

    No Known Activations