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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. 8074
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    Explanations

    words related to emotions, particularly focusing on emotional intensity

    oai_token-act-pair · gpt-3.5-turbo

    references to emotional experiences and sentiments

    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
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    No Comments

    Negative Logits
    ÄŁ
    -0.71
    iago
    -0.70
    ribution
    -0.69
    essential
    -0.69
    fold
    -0.68
    etting
    -0.68
    lust
    -0.67
    etts
    -0.67
    lain
    -0.65
    tower
    -0.65
    POSITIVE LOGITS
    orically
    0.91
     distress
    0.83
     outburst
    0.82
     maturity
    0.82
     feelings
    0.81
     contag
    0.81
    otional
    0.78
     intimacy
    0.77
     sensations
    0.77
    ocene
    0.74
    Activations Density 0.011%

    No Known Activations