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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 2-RES-JB
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    Explanations

    adjectives related to extreme negativity or bad experiences

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to extreme and negative experiences or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pai
    -0.76
    sama
    -0.73
    ership
    -0.73
    arta
    -0.72
    paio
    -0.71
    irk
    -0.71
    appa
    -0.71
    pta
    -0.71
    illary
    -0.69
    jong
    -0.69
    POSITIVE LOGITS
    ally
    0.93
     earthqu
    0.93
     horrors
    0.90
     atrocities
    0.86
     nightmares
    0.85
     wrench
    0.75
    uously
    0.74
     beasts
    0.73
     creatures
    0.73
     nightmare
    0.73
    Activations Density 0.023%

    No Known Activations