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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. 1-RES-JB
    11. 15818
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    INDEX
    Explanations

    mentions of a strong or clear vision

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "vision."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atern
    -0.83
    adding
    -0.78
    avis
    -0.72
    nie
    -0.72
    agher
    -0.71
    big
    -0.71
    andise
    -0.69
    ãģį
    -0.68
    ften
    -0.65
    paying
    -0.65
    POSITIVE LOGITS
     vision
    1.43
     visions
    1.13
     Vision
    0.93
     visionary
    0.89
    Vision
    0.83
     goggles
    0.70
    aries
    0.70
     aspiration
    0.70
     impaired
    0.69
     Archdemon
    0.69
    Activations Density 0.012%

    No Known Activations