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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. 8-RES-JB
    11. 12821
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to editorial selections or highlighted content in articles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lag
    -0.71
    SPONSORED
    -0.69
    gate
    -0.65
    overs
    -0.64
    lia
    -0.62
    ded
    -0.60
    leading
    -0.60
    caps
    -0.59
    WI
    -0.58
     ow
    -0.57
    POSITIVE LOGITS
     CONTIN
    0.71
     IMAGES
    0.67
     WATCHED
    0.65
    theless
    0.62
    essler
    0.61
    ertodd
    0.61
     Activate
    0.58
     limbo
    0.58
    ļéĨĴ
    0.57
     Finnish
    0.57
    Activations Density 0.045%

    No Known Activations