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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. 3-RES-JB
    11. 15661
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    INDEX
    Explanations

    mentions of specific names

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific individual, particularly an artist named Mehndi

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pring
    -0.96
    EStreamFrame
    -0.79
    ãĤ¼ãĤ¦ãĤ¹
    -0.78
    peak
    -0.74
    enfranch
    -0.72
    loader
    -0.71
    runner
    -0.70
    ãĥŀ
    -0.70
    clusively
    -0.68
    doors
    -0.65
    POSITIVE LOGITS
     Meh
    1.17
    azard
    0.90
    ollah
    0.84
    merga
    0.81
    lev
    0.76
    aji
    0.75
    asar
    0.72
    medi
    0.71
    awk
    0.66
    afort
    0.66
    Activations Density 0.018%

    No Known Activations