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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. 6-RES-JB
    11. 7077
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    Explanations

    adjectives related to behavior

    oai_token-act-pair · gpt-3.5-turbo

    references to politeness and rudeness in social interactions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lisher
    -0.91
    ARK
    -0.81
    rises
    -0.74
    ishop
    -0.74
    è¦ļéĨĴ
    -0.73
    yrinth
    -0.73
    razil
    -0.71
    aredevil
    -0.70
    ernels
    -0.68
    orama
    -0.68
    POSITIVE LOGITS
     polite
    0.96
     etiquette
    0.95
     banter
    0.91
     manners
    0.89
     greeting
    0.84
     rude
    0.83
     gentlemen
    0.80
     gentleman
    0.79
     politely
    0.77
     rud
    0.77
    Activations Density 0.072%

    No Known Activations