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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. 4895
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    INDEX
    Explanations

    mentions of "sands" or related terms in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to tar sands and related environmental concepts

    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
    proof
    -0.76
    incarn
    -0.72
    istically
    -0.71
    berus
    -0.71
    yrinth
    -0.70
    fecture
    -0.67
    thumbnails
    -0.67
    ©¶æ¥µ
    -0.66
    zzi
    -0.65
    tymology
    -0.65
    POSITIVE LOGITS
    heet
    0.83
    metics
    0.80
    chwitz
    0.79
     Pharmaceutical
    0.79
     Sands
    0.75
    stones
    0.75
     sands
    0.73
    iants
    0.73
    aurus
    0.72
    mas
    0.71
    Activations Density 0.013%

    No Known Activations