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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. 1-RES-JB
    11. 15900
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    Explanations

    proper nouns, specifically names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    repeated usage of the word "his."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    amazon
    -0.67
    Trend
    -0.65
     Compare
    -0.65
    Fuel
    -0.63
    FY
    -0.62
    Trigger
    -0.61
    Load
    -0.60
    itect
    -0.60
    igslist
    -0.60
    ocument
    -0.60
    POSITIVE LOGITS
     own
    1.19
    panic
    1.00
     tremend
    0.90
     assailant
    0.84
     opponent
    0.83
    sing
    0.82
     father
    0.81
     favourite
    0.76
     detractors
    0.76
     rightful
    0.75
    Activations Density 0.138%

    No Known Activations