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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. 4-RES-JB
    11. 15642
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    Explanations

    words related to adhering or following rules, guidelines, or standards

    oai_token-act-pair · gpt-3.5-turbo

    terms related to conformity and adherence to rules or standards

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

    Negative Logits
    arta
    -0.78
    STEM
    -0.67
    437
    -0.65
     DRAG
    -0.65
    wi
    -0.64
    Uncommon
    -0.63
    217
    -0.62
    TPS
    -0.62
    436
    -0.62
     Premiership
    -0.61
    POSITIVE LOGITS
     conform
    0.99
    itionally
    0.86
    ational
    0.85
    ezvous
    0.84
    ities
    0.84
    itional
    0.83
     conformity
    0.81
    ulent
    0.81
    ifications
    0.80
    ations
    0.80
    Activations Density 0.014%

    No Known Activations