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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. 3-RES-JB
    11. 24328
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    Explanations

    references to underground locations or actions

    oai_token-act-pair · gpt-3.5-turbo

    references to underground structures or settings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    otaur
    -0.86
    nia
    -0.85
    nesota
    -0.79
    cific
    -0.76
    rar
    -0.76
    awed
    -0.76
    =-=-=-=-=-=-=-=-
    -0.75
     Kinnikuman
    -0.74
    eting
    -0.73
    atche
    -0.73
    POSITIVE LOGITS
     underground
    1.13
     bunker
    0.88
     hatch
    0.85
     tunnels
    0.83
    ranean
    0.83
     closet
    0.82
     railroad
    0.80
     cavern
    0.80
     lair
    0.78
     labyrinth
    0.76
    Activations Density 0.010%

    No Known Activations