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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. 20014
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    Explanations

    phrases related to scientific research and discovery

    oai_token-act-pair · gpt-3.5-turbo

    references to significant scientific theories and discoveries

    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
    è»
    -0.84
    iciary
    -0.79
    anka
    -0.77
    ILE
    -0.76
     Calais
    -0.75
    acia
    -0.75
    tesy
    -0.74
    imgur
    -0.73
     [+
    -0.73
    adra
    -0.72
    POSITIVE LOGITS
     scientists
    1.60
     physicists
    1.56
     scientific
    1.51
     theorists
    1.45
     researchers
    1.35
     science
    1.35
     biologists
    1.34
     skeptics
    1.33
     physicist
    1.32
    Scientists
    1.28
    Activations Density 0.805%

    No Known Activations