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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. 6-RES-JB
    11. 4366
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    INDEX
    Explanations

    mentions of the word "Arrivals"

    oai_token-act-pair · gpt-3.5-turbo

    references to specific policies or programs related to childhood and the legislative processes surrounding them

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    IRO
    -0.69
    çīĪ
    -0.67
    manship
    -0.66
     HMS
    -0.64
    ometimes
    -0.63
     sled
    -0.62
     Nadu
    -0.62
     tremend
    -0.62
     McDonnell
    -0.62
    nown
    -0.61
    POSITIVE LOGITS
    vals
    1.29
    ving
    1.19
    ved
    1.14
    ves
    1.06
    val
    1.06
    achment
    1.02
    zon
    0.92
    ggles
    0.91
    uation
    0.85
    ject
    0.85
    Activations Density 0.042%

    No Known Activations