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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. 20454
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    Explanations

    words related to decrease or loss

    oai_token-act-pair · gpt-3.5-turbo

    terms related to decline or decrease in various metrics

    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
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    No Comments

    Negative Logits
    POL
    -0.69
    eur
    -0.61
     pardon
    -0.61
    WI
    -0.60
    ZI
    -0.59
    æĿ
    -0.59
     oath
    -0.58
    TN
    -0.57
    eering
    -0.57
     Founding
    -0.56
    POSITIVE LOGITS
    graded
    0.90
     sharply
    0.85
    luster
    0.82
    rated
    0.80
    downs
    0.77
     markedly
    0.77
     plummet
    0.75
     drastically
    0.73
     proport
    0.73
    down
    0.71
    Activations Density 0.081%

    No Known Activations