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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. 9-RES-JB
    11. 1647
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    Explanations

    economic and financial terms or concepts

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating uncertainty or questioning

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    OWN
    -0.83
    atan
    -0.72
    ROR
    -0.68
    rolet
    -0.66
    ourning
    -0.63
    ļéĨĴ
    -0.63
    ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
    -0.61
    DERR
    -0.61
    packages
    -0.61
    channelAvailability
    -0.60
    POSITIVE LOGITS
     surely
    1.21
     shouldn
    1.14
     chances
    1.11
    why
    0.92
     why
    0.91
     logically
    0.91
     wouldn
    0.89
     ought
    0.88
     perhaps
    0.85
     seems
    0.84
    Activations Density 0.556%

    No Known Activations