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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. 9-RES-JB
    11. 15463
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    oai_token-act-pair · gpt-3.5-turbo

    sentence-ending punctuation marks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     slam
    -0.67
     pudding
    -0.61
     allowance
    -0.60
     dime
    -0.60
     gamble
    -0.59
     grade
    -0.59
     sack
    -0.58
     renegoti
    -0.58
     loser
    -0.58
     alley
    -0.58
    POSITIVE LOGITS
     Whilst
    1.21
     Firstly
    1.17
     However
    1.10
    Firstly
    1.05
     While
    0.98
     Specifically
    0.97
     Although
    0.96
     Whether
    0.96
     Initially
    0.96
     Unfortunately
    0.93
    Activations Density 0.604%

    No Known Activations