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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. 16623
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    Explanations

    people or entities being targeted or threatened with negative consequences

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals or groups being targeted or punished for their actions or beliefs

    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
     Surviv
    -0.72
    reciation
    -0.69
    Dub
    -0.68
     Recovery
    -0.66
    200000
    -0.66
    >>>>>>>>
    -0.65
    amorph
    -0.64
     Selection
    -0.63
     Spiral
    -0.62
    reci
    -0.62
    POSITIVE LOGITS
     transgress
    1.23
     disob
    1.16
     dared
    1.09
     tresp
    1.03
     illegally
    1.01
     disple
    1.01
     unlawfully
    1.00
     misconduct
    0.96
     disobedience
    0.96
     contra
    0.95
    Activations Density 0.504%

    No Known Activations