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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. 16957
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    Explanations

    phrases related to formal reports and statements

    oai_token-act-pair · gpt-3.5-turbo

    references to reports and official statements

    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
    ventus
    -0.73
    ecause
    -0.68
    ntil
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    ornia
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    cale
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    brance
    -0.64
    ascar
    -0.62
    Native
    -0.61
    ||||
    -0.61
    ################
    -0.60
    POSITIVE LOGITS
     concludes
    0.90
     Cheong
    0.83
     summarizes
    0.79
     reproduced
    0.77
     emphasizes
    0.74
     concluded
    0.73
     cited
    0.73
     acknowledges
    0.73
     comprises
    0.71
     cites
    0.71
    Activations Density 0.206%

    No Known Activations