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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. 1-RES-JB
    11. 13533
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    Explanations

    proper names with accents and special characters

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals with notable names in the context of crime or legal affairs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    croft
    -0.82
     wheelchair
    -0.69
     litter
    -0.69
     clipboard
    -0.66
     sacrificed
    -0.65
     attendants
    -0.63
    birth
    -0.62
     subdivision
    -0.62
     scout
    -0.61
     Trident
    -0.60
    POSITIVE LOGITS
    ÃŃn
    1.44
    ás
    1.06
    sson
    1.05
    ners
    1.00
    én
    0.98
    ÃŃa
    0.98
    ÃŃ
    0.97
    igans
    0.95
    idad
    0.94
    inho
    0.94
    Activations Density 0.008%

    No Known Activations