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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. 10-RES-JB
    11. 816
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases related to risks and potential consequences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     airplane
    -0.70
     doctors
    -0.68
     airplanes
    -0.67
    plet
    -0.66
     medicine
    -0.66
     lawyers
    -0.66
     attorneys
    -0.66
     worker
    -0.64
     workers
    -0.62
     counselor
    -0.62
    POSITIVE LOGITS
     Whilst
    1.68
    Indeed
    1.28
    Thankfully
    1.25
    Sadly
    1.19
    Perhaps
    1.19
     Alas
    1.18
     whilst
    1.16
     Needless
    1.16
     Thankfully
    1.15
    Nevertheless
    1.15
    Activations Density 0.747%

    No Known Activations