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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. 2955
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    Explanations

    step-by-step instructions or tutorials

    oai_token-act-pair · gpt-3.5-turbo

    instructions related to step-by-step processes

    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
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    Negative Logits
    elaide
    -0.74
    lived
    -0.69
    adium
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     waning
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    utics
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     outl
    -0.67
     Fiscal
    -0.66
     revenues
    -0.65
     rivalry
    -0.65
    ylum
    -0.65
    POSITIVE LOGITS
     tutorial
    1.30
    Instruct
    1.23
    STEP
    1.22
     tutorials
    1.18
     instructions
    1.18
     Instructions
    1.18
     Setup
    1.17
    Step
    1.12
    Method
    1.10
     DIY
    1.09
    Activations Density 0.983%

    No Known Activations