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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. 23060
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    Explanations

    contractions of 'I am' and 'I'm not'

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the phrase "I'm" or "am" indicating personal statements or expressions

    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
     externalToEVAOnly
    -0.80
     peaks
    -0.66
     exploits
    -0.65
     membr
    -0.65
     Gap
    -0.64
     meets
    -0.63
     lasts
    -0.62
     Utilities
    -0.62
    fts
    -0.61
     chants
    -0.61
    POSITIVE LOGITS
     glad
    1.41
     thankful
    1.32
     grateful
    1.27
     sorry
    1.19
     proud
    1.12
     amazed
    1.12
     hoping
    1.09
     guessing
    1.08
     afraid
    1.07
     ashamed
    1.05
    Activations Density 0.133%

    No Known Activations