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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. 18591
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    keywords related to legal or functional purposes

    oai_token-act-pair · gpt-3.5-turbo

    references to legal or formal purposes

    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
     Patriarch
    -0.78
    Ped
    -0.72
     Alps
    -0.67
     Fulton
    -0.66
     Ryder
    -0.65
     Sisters
    -0.64
     Grape
    -0.61
     hills
    -0.61
     Messi
    -0.60
     Alpine
    -0.59
    POSITIVE LOGITS
    chwitz
    0.99
    restrial
    0.86
    ful
    0.83
    oldown
    0.82
    folios
    0.79
     purposes
    0.79
    ajor
    0.78
    isine
    0.77
    aily
    0.77
    perty
    0.76
    Activations Density 0.007%

    No Known Activations