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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. 4-RES-JB
    11. 14263
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    Explanations

    adverbs expressing negative sentiment

    oai_token-act-pair · gpt-3.5-turbo

    emotionally charged expressions of sadness and tragedy

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    afort
    -0.83
    tein
    -0.82
    uese
    -0.81
    rosse
    -0.79
    insula
    -0.79
    amins
    -0.79
    eer
    -0.71
    arnaev
    -0.69
    rouse
    -0.68
    eers
    -0.68
    POSITIVE LOGITS
     sadly
    0.86
    à¥
    0.77
    ा
    0.76
     parted
    0.74
     Âł Âł Âł Âł Âł Âł Âł Âł
    0.72
     Sadly
    0.72
     inflicted
    0.70
     tragically
    0.70
     unfortunately
    0.68
     disappoint
    0.68
    Activations Density 0.013%

    No Known Activations