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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. 5000
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    Explanations

    phrases expressing regret or sorrow

    oai_token-act-pair · gpt-3.5-turbo

    expressions of loss and sadness

    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
    •layer 9 - sadness

    No Comments

    Negative Logits
     strengths
    -0.78
     horm
    -0.69
    natureconservancy
    -0.66
    BSD
    -0.65
     robust
    -0.65
     Preferences
    -0.64
     enhancement
    -0.63
    ibly
    -0.62
     optimum
    -0.62
    styles
    -0.62
    POSITIVE LOGITS
     losing
    0.88
     wasted
    0.87
     :(
    0.75
     suddenly
    0.74
     unable
    0.73
     inflicted
    0.72
     trapped
    0.72
     faced
    0.71
     strangers
    0.71
     lose
    0.70
    Activations Density 0.428%

    No Known Activations