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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. 11-RES-JB
    11. 22539
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    Explanations

    questions and hypothetical scenarios

    oai_token-act-pair · gpt-3.5-turbo

    references to hypothetical scenarios and choices

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uncture
    -0.64
    inventoryQuantity
    -0.62
    resa
    -0.61
    DX
    -0.59
    racuse
    -0.56
     SX
    -0.54
    ãĤ¨
    -0.54
    FTWARE
    -0.52
     FINAL
    -0.51
    NetMessage
    -0.51
    POSITIVE LOGITS
    would
    2.21
     would
    2.12
     wouldn
    1.83
     Would
    1.77
    Would
    1.69
    'd
    1.49
     Wouldn
    1.49
    could
    1.37
     could
    1.27
    OULD
    1.27
    Activations Density 1.072%

    No Known Activations