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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. 11-RES-JB
    11. 6237
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    Explanations

    phrases related to saving or rescuing something

    oai_token-act-pair · gpt-3.5-turbo

    contexts related to saving lives or resources

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    SPONSORED
    -0.87
    âķIJ
    -0.68
    interstitial
    -0.67
    Newsletter
    -0.65
    ept
    -0.64
    hern
    -0.64
     encomp
    -0.62
    soType
    -0.62
     Attribution
    -0.61
    mbuds
    -0.61
    POSITIVE LOGITS
     lives
    1.32
     bacon
    1.05
     Lives
    1.00
     life
    0.92
     dearly
    0.90
     precious
    0.85
     lifes
    0.85
     bucks
    0.83
     souls
    0.82
     untold
    0.82
    Activations Density 0.111%

    No Known Activations