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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. 5595
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    Explanations

    the word "Sa" with varying intensities

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals with the name "Sa."

    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
    mercial
    -0.84
    papers
    -0.84
    tics
    -0.82
    ãĥ¼ãĥĨãĤ£
    -0.81
    payer
    -0.79
     Turing
    -0.74
    yright
    -0.73
    */(
    -0.71
    20439
    -0.69
    tained
    -0.68
    POSITIVE LOGITS
     Sa
    1.03
    uten
    1.01
    uth
    1.00
    Sa
    0.97
    adish
    0.93
    eed
    0.90
    iva
    0.88
    ven
    0.88
    Ga
    0.87
    igon
    0.87
    Activations Density 0.005%

    No Known Activations