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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. 6-RES-JB
    11. 10656
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    Explanations

    keywords related to identification, detection, analysis, tracking, and prevention tasks

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to identification, detection, and analysis of various elements or groups

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    illac
    -0.74
    FactoryReloaded
    -0.74
    jl
    -0.70
    Sov
    -0.69
    Statement
    -0.69
    ranch
    -0.69
    rette
    -0.68
     Masquerade
    -0.67
    QUI
    -0.66
    JB
    -0.65
    POSITIVE LOGITS
     incoming
    0.93
     detecting
    0.79
     detect
    0.78
     visibility
    0.77
     spotting
    0.74
     detects
    0.74
     heartbeat
    0.74
     detection
    0.70
     how
    0.70
     accurate
    0.70
    Activations Density 0.343%

    No Known Activations