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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
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    Explanations

    repeated use of the word "don't" and contractions where "not" follows

    oai_token-act-pair · gpt-3.5-turbo

    instances of the negation "don’t"

    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
    itiz
    -0.65
     Pengu
    -0.64
     Penguin
    -0.63
     Starts
    -0.63
    soType
    -0.62
     Presence
    -0.61
     Alleg
    -0.61
     Pike
    -0.60
     Reloaded
    -0.60
     Koen
    -0.60
    POSITIVE LOGITS
     bother
    1.15
     necessarily
    1.15
     deserve
    1.12
     discriminate
    1.05
     know
    1.03
     hesitate
    1.03
     belong
    1.03
     intend
    1.02
     dare
    1.00
     exist
    1.00
    Activations Density 0.090%

    No Known Activations