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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. 3-RES-JB
    11. 600
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    Explanations

    mentions of the year 2008

    oai_token-act-pair · gpt-3.5-turbo

    references to the year 2008

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ancest
    -0.79
    afort
    -0.66
    Magikarp
    -0.66
    hma
    -0.64
    oÄŁ
    -0.64
     unpre
    -0.63
    kef
    -0.61
     unin
    -0.61
    lying
    -0.60
     subst
    -0.60
    POSITIVE LOGITS
    å¹
    0.88
    -'
    0.83
    ilton
    0.72
    é¾
    0.69
     Reloaded
    0.68
    wark
    0.67
    aeda
    0.66
     Reconstruction
    0.66
    clinton
    0.65
     onwards
    0.65
    Activations Density 0.024%

    No Known Activations