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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. 2-RES-JB
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    Explanations

    mentions of the name "Flynn"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Flynn."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ==
    -0.75
    ICAN
    -0.73
    require
    -0.70
    RAM
    -0.68
    Org
    -0.67
    optional
    -0.65
     ANGEL
    -0.65
    Upgrade
    -0.63
    Issue
    -0.62
    Hop
    -0.62
    POSITIVE LOGITS
    lynn
    1.08
     Flynn
    0.98
    gren
    0.90
    oresc
    0.86
    cffff
    0.81
    acies
    0.80
    renheit
    0.79
    loo
    0.78
    kson
    0.77
    etooth
    0.76
    Activations Density 0.004%

    No Known Activations