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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. 2-RES-JB
    11. 15431
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    Explanations

    words related to statistical analysis and measurement

    oai_token-act-pair · gpt-3.5-turbo

    mentions of statistics and numerical data

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Sierra
    -0.74
    ¿½
    -0.70
     Sahara
    -0.68
    course
    -0.65
     Constitutional
    -0.65
    bye
    -0.64
     Understanding
    -0.63
     Borderlands
    -0.63
     Atlantis
    -0.63
     Passage
    -0.62
    POSITIVE LOGITS
    uary
    0.99
    istically
    0.97
    ics
    0.94
    ript
    0.94
    istics
    0.93
    aments
    0.92
    iques
    0.89
    uses
    0.89
    ements
    0.88
    uer
    0.88
    Activations Density 0.006%

    No Known Activations