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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
    11. 17672
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    INDEX
    Explanations

    references to the word "speeches"

    oai_token-act-pair · gpt-3.5-turbo

    references to paid speeches

    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
    runs
    -0.73
    appropriate
    -0.71
     Wonderland
    -0.68
     Nation
    -0.68
    Tier
    -0.67
    Captain
    -0.66
    Kay
    -0.63
    avery
    -0.62
    abol
    -0.62
     Grimm
    -0.61
    POSITIVE LOGITS
     speeches
    1.52
     lectures
    0.87
    esta
    0.85
     concerts
    0.83
    clinton
    0.81
     vows
    0.78
     seminars
    0.78
     memos
    0.78
     announcements
    0.78
     pitches
    0.77
    Activations Density 0.014%

    No Known Activations