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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

    references to the word "Gren" at varying intensities

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "Gren" and its variations

    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
    áµ
    -0.78
    stakes
    -0.75
     Wiley
    -0.74
    Trend
    -0.70
    post
    -0.69
     CFR
    -0.69
    CV
    -0.68
    igslist
    -0.67
    âĢ¢âĢ¢
    -0.67
     CNS
    -0.67
    POSITIVE LOGITS
    adier
    1.32
    fell
    0.94
    ecast
    0.94
     Gren
    0.88
    adel
    0.87
     gren
    0.86
    ochet
    0.85
    auld
    0.84
    emouth
    0.81
    lette
    0.80
    Activations Density 0.006%

    No Known Activations