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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. 1-RES-JB
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    Explanations

    references to physical structures like vaults and bunkers

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "vault" and "bunker" related concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    baugh
    -0.76
    Ĥª
    -0.75
    ĩ
    -0.75
    sweet
    -0.72
    WithNo
    -0.71
    said
    -0.70
    MN
    -0.69
    ľ
    -0.67
    ī
    -0.67
    cker
    -0.66
    POSITIVE LOGITS
     vault
    1.49
     Vault
    1.33
    lain
    1.00
     bunker
    0.85
     hatch
    0.81
    Guard
    0.79
    iary
    0.78
     guarded
    0.78
    illance
    0.76
     wardrobe
    0.76
    Activations Density 0.012%

    No Known Activations