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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. 4369
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    Explanations

    keywords related to underground tunnels

    oai_token-act-pair · gpt-3.5-turbo

    references to tunnels

    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
    ģĸ
    -0.72
     Liberties
    -0.71
    ãĤŃ
    -0.67
    orian
    -0.66
    metics
    -0.65
    erva
    -0.64
    Vict
    -0.64
    itia
    -0.64
     CHO
    -0.63
    oln
    -0.63
    POSITIVE LOGITS
     tunnel
    0.97
     tunnels
    0.89
     boring
    0.89
     entrances
    0.85
    vision
    0.85
    nels
    0.83
    ibur
    0.83
     dug
    0.82
     Tunnel
    0.82
    geon
    0.80
    Activations Density 0.020%

    No Known Activations