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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. 21901
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    Explanations

    mentions of a specific organization or entity

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific entity or organization

    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

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    Negative Logits
    ãĥĻ
    -0.79
    schild
    -0.76
    Reviewer
    -0.73
    \/\/
    -0.69
    Maker
    -0.69
    mini
    -0.68
    hift
    -0.68
    bottom
    -0.68
    ãĥŀ
    -0.64
    backer
    -0.64
    POSITIVE LOGITS
    upid
    0.80
    oreal
    0.79
    orne
    0.78
     ILCS
    0.72
    Ļ½
    0.70
    ois
    0.69
    .,
    0.68
    .?
    0.68
     Lumpur
    0.66
    otton
    0.66
    Activations Density 0.028%

    No Known Activations