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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. 23759
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    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
    Contents
    -0.80
     assignments
    -0.75
    agents
    -0.70
    Instruct
    -0.69
    antry
    -0.67
    Enjoy
    -0.67
    Finish
    -0.66
     proceedings
    -0.66
     aven
    -0.66
     offenders
    -0.64
    POSITIVE LOGITS
    usterity
    1.04
     handful
    1.04
     decade
    1.03
     survey
    1.03
     spate
    1.03
     recent
    1.03
     study
    0.99
     Pew
    0.99
     whopping
    0.97
    ccording
    0.97
    Activations Density 0.279%

    No Known Activations