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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. 8489
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    oai_token-act-pair · gpt-3.5-turbo

    references to academic or formal documentation and materials

    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
    needed
    -0.78
     awa
    -0.71
     TAMADRA
    -0.69
     accordingly
    -0.61
     furthermore
    -0.59
    OVA
    -0.59
     challeng
    -0.59
     needed
    -0.57
     therefore
    -0.57
    ignty
    -0.56
    POSITIVE LOGITS
     standpoint
    1.41
     onwards
    1.08
     vantage
    1.06
     perspective
    0.95
     onward
    0.83
     Shutterstock
    0.81
    ratch
    0.79
     sources
    0.78
     outset
    0.76
     infancy
    0.72
    Activations Density 0.760%

    No Known Activations