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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. 13587
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    Explanations

    phrases indicating a conclusion or result

    oai_token-act-pair · gpt-3.5-turbo

    periods and punctuation at the end of sentences

    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
    Not in Any Lists

    No Comments

    Negative Logits
     contagious
    -0.78
     portrait
    -0.72
     beasts
    -0.70
     microbiome
    -0.69
     regenerate
    -0.68
     regener
    -0.68
     orbs
    -0.67
     generational
    -0.67
     yell
    -0.67
     lashes
    -0.66
    POSITIVE LOGITS
     Unfortunately
    1.46
     However
    1.37
     Ultimately
    1.30
     Initially
    1.22
     Eventually
    1.20
     Instead
    1.19
     But
    1.09
     Sadly
    1.09
     Ironically
    1.08
     Shortly
    1.06
    Activations Density 0.359%

    No Known Activations