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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. 18997
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    Explanations

    mentions of statistical terms or concepts

    oai_token-act-pair · gpt-3.5-turbo

    references to statistical concepts and specific statistical terms

    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
    Not in Any Lists

    No Comments

    Negative Logits
     breath
    -0.76
    avorite
    -0.65
    pling
    -0.63
     understanding
    -0.63
     orally
    -0.61
    ACTION
    -0.61
     remem
    -0.61
     SUP
    -0.60
     eye
    -0.60
     comprehension
    -0.59
    POSITIVE LOGITS
    ians
    2.03
    ian
    2.01
    ienne
    1.28
    ias
    1.13
    ious
    1.09
    ius
    1.07
    ity
    1.06
    ia
    1.05
    iane
    1.05
    ics
    1.05
    Activations Density 0.033%

    No Known Activations