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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. 9059
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    Explanations

    references to legal actions or individuals/entities facing consequences

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals or entities and their relationships

    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
     Aden
    -0.70
     Braz
    -0.67
     Ack
    -0.66
     Gutenberg
    -0.65
     Buch
    -0.65
     Harden
    -0.65
    Bonus
    -0.65
     Mehran
    -0.64
     Dragonbound
    -0.64
     Prelude
    -0.63
    POSITIVE LOGITS
     organizations
    1.06
     organisations
    1.04
     entities
    1.02
    groups
    1.01
     institutions
    1.00
     groups
    0.99
     animals
    0.94
    rities
    0.92
     Places
    0.91
     businesses
    0.90
    Activations Density 0.198%

    No Known Activations