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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. 9-RES-JB
    11. 3407
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    Explanations

    proper names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of people

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     impe
    -0.74
    taboola
    -0.72
     presumptive
    -0.71
     voter
    -0.70
     blaming
    -0.69
     obstruction
    -0.69
     contraceptives
    -0.67
     politically
    -0.67
     predec
    -0.66
     incor
    -0.64
    POSITIVE LOGITS
     Hansen
    1.02
     Barker
    0.99
    kson
    0.98
     Roberts
    0.94
     Christensen
    0.91
     Nichols
    0.90
     Wilde
    0.89
     Berger
    0.89
     Becker
    0.89
     Greene
    0.88
    Activations Density 0.288%

    No Known Activations