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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. 13152
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    Explanations

    contractions where the word "don't" or "doesn't" is present

    oai_token-act-pair · gpt-3.5-turbo

    contractions, specifically the word "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
     Reborn
    -0.66
    pires
    -0.65
     behavi
    -0.64
     stabilized
    -0.63
    wrapper
    -0.62
     cleaner
    -0.61
     Frie
    -0.61
    accompan
    -0.60
     Palestin
    -0.59
     Nicarag
    -0.59
    POSITIVE LOGITS
     forget
    1.29
     hesitate
    1.13
     underestimate
    1.09
     bother
    1.02
     expect
    0.99
     worry
    0.90
     discriminate
    0.87
     thou
    0.84
     Forget
    0.84
    erest
    0.84
    Activations Density 0.047%

    No Known Activations