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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. 11-RES-JB
    11. 9102
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    Explanations

    words expressing negative or challenging situations or emotions

    oai_token-act-pair · gpt-3.5-turbo

    Negative sentiments or complaints about various experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     chants
    -0.72
    ITIES
    -0.71
    fixes
    -0.71
    icts
    -0.70
    alks
    -0.70
    poons
    -0.70
     Roots
    -0.68
    iencies
    -0.66
     tensions
    -0.66
    iries
    -0.66
    POSITIVE LOGITS
     breaker
    1.02
     unto
    0.96
     affair
    0.92
     nonetheless
    0.83
     compared
    0.83
    fest
    0.83
     worthy
    0.80
     considering
    0.79
    ometer
    0.78
    brainer
    0.78
    Activations Density 0.186%

    No Known Activations