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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
    11. 6713
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    Explanations

    words related to underground locations or activities

    oai_token-act-pair · gpt-3.5-turbo

    references to underground environments or contexts

    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
    nia
    -0.77
    awed
    -0.74
    nesota
    -0.72
     Kinnikuman
    -0.72
    ================================================================
    -0.72
    eting
    -0.72
    rar
    -0.71
    ebus
    -0.70
    atche
    -0.70
    ordan
    -0.70
    POSITIVE LOGITS
     underground
    1.19
    ranean
    0.88
     bunker
    0.87
     Underground
    0.86
     tunnels
    0.83
     hatch
    0.79
     closet
    0.79
     Bunker
    0.79
    untary
    0.79
     lair
    0.78
    Activations Density 0.008%

    No Known Activations