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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. 6169
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    INDEX
    Explanations

    phrases related to the basis of beliefs or actions

    oai_token-act-pair · gpt-3.5-turbo

    references to foundational principles or ideas

    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
    abouts
    -0.85
    zon
    -0.81
     besides
    -0.76
    SPONSORED
    -0.75
    adays
    -0.74
    cro
    -0.72
    eden
    -0.69
    enough
    -0.68
    bourg
    -0.68
    su
    -0.68
    POSITIVE LOGITS
     assumption
    1.45
     premise
    1.32
     fact
    1.13
     notion
    1.06
     idea
    1.01
     principle
    1.00
     principles
    1.00
     whims
    0.99
     belief
    0.99
     tenets
    0.95
    Activations Density 0.375%

    No Known Activations