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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. 2688
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    Explanations

    names of individuals who have been involved in legal or criminal incidents

    oai_token-act-pair · gpt-3.5-turbo

    instances of incomplete or truncated text

    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
     optim
    -0.90
     UNESCO
    -0.90
     forecasting
    -0.82
     commentators
    -0.81
     commentary
    -0.80
     charism
    -0.79
     economists
    -0.79
     eluc
    -0.76
     arenas
    -0.76
     scholars
    -0.75
    POSITIVE LOGITS
     Tsarnaev
    1.33
    arnaev
    1.21
     Doe
    1.15
    ernandez
    1.13
    endez
    1.13
     Paddock
    1.09
    quez
    1.08
     Bundy
    1.06
     Hernandez
    1.03
    anchez
    1.01
    Activations Density 0.428%

    No Known Activations