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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. 11793
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    Explanations

    phrases related to official statements or legal matters

    oai_token-act-pair · gpt-3.5-turbo

    sentence-ending punctuation

    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
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    Negative Logits
     dime
    -0.99
     defe
    -0.81
     paycheck
    -0.78
     unloaded
    -0.78
     uncom
    -0.75
     glim
    -0.74
     royalty
    -0.72
     honoring
    -0.71
     hurricane
    -0.71
     millisec
    -0.71
    POSITIVE LOGITS
     Hence
    1.21
     Moreover
    1.19
     Whilst
    1.16
     Afterwards
    1.10
     However
    1.10
     Furthermore
    1.09
     Alternatively
    1.08
     Rohing
    1.07
     Malays
    1.06
     Kerala
    1.06
    Activations Density 0.451%

    No Known Activations