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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. 21910
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    Explanations

    proper nouns related to people or places, specifically emphasizing instances of 'Nar'

    oai_token-act-pair · gpt-3.5-turbo

    mentions of a specific name or title

    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
     Democr
    -0.86
     Pixie
    -0.83
     Canary
    -0.79
    ORED
    -0.72
     VIDEOS
    -0.69
     Extrem
    -0.68
    bread
    -0.68
     Barbie
    -0.68
    xual
    -0.68
    IBLE
    -0.67
    POSITIVE LOGITS
    ration
    1.03
    rils
    1.00
     Lumpur
    0.94
    opa
    0.91
    ayan
    0.88
    uno
    0.87
    acles
    0.86
    ril
    0.85
    rha
    0.84
    illion
    0.84
    Activations Density 0.017%

    No Known Activations