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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 15045
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    instances of the letter "U"

    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
     Noir
    -0.86
     Emin
    -0.66
     CDs
    -0.65
    ragon
    -0.64
     Preferred
    -0.64
     blinded
    -0.62
     responsive
    -0.62
     flares
    -0.61
     Solitaire
    -0.61
     itch
    -0.59
    POSITIVE LOGITS
    seless
    1.02
    WT
    1.01
    PDATED
    1.01
    berman
    0.99
    NA
    0.99
    MA
    0.98
    KE
    0.97
    prising
    0.97
    BLIC
    0.96
    nexpected
    0.95
    Activations Density 0.035%

    No Known Activations