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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. 1-RES-JB
    11. 5068
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    Explanations

    terms related to falsification or creation of false information

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of fabrication or falsification

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    olver
    -0.74
    oké
    -0.72
    opa
    -0.70
    endant
    -0.69
    interrupted
    -0.69
    ipop
    -0.69
    aird
    -0.67
    itaire
    -0.66
    ixties
    -0.66
    opez
    -0.66
    POSITIVE LOGITS
     fabrication
    1.58
     fabricated
    1.38
    fab
    0.96
    Materials
    0.90
     Fabric
    0.87
     fabric
    0.84
     fab
    0.82
     alloy
    0.82
    ©¶æ¥µ
    0.80
    ãĤ¦ãĤ¹
    0.79
    Activations Density 0.012%

    No Known Activations