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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 6457
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    Explanations

    terms related to academic disciplines and expertise, particularly in the areas of economics, environmentalism, computer science, and agriculture

    oai_token-act-pair · gpt-3.5-turbo

    text segments that are empty or indicate the end of content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    icol
    -0.79
    sbm
    -0.76
    pees
    -0.76
    Lago
    -0.75
    ixel
    -0.75
    wic
    -0.74
    Ws
    -0.74
    lease
    -0.71
    burgh
    -0.65
    :(
    -0.65
    POSITIVE LOGITS
     academia
    0.94
     aesthetics
    0.92
     spirituality
    0.92
     entrepreneurship
    0.90
     anthropology
    0.87
     science
    0.87
     economics
    0.87
     literacy
    0.86
     physiology
    0.84
     mathematics
    0.84
    Activations Density 0.409%

    No Known Activations