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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
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    Explanations

    text related to foundations or fundamental principles

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "foundation."

    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
     Nicotine
    -0.70
     Rabbit
    -0.70
     Pinball
    -0.67
    pmwiki
    -0.66
    uling
    -0.65
    hab
    -0.64
    chie
    -0.63
    VR
    -0.63
    cible
    -0.61
     Robot
    -0.61
    POSITIVE LOGITS
     foundation
    1.53
     foundations
    1.27
    foundation
    0.92
     groundwork
    0.87
     footing
    0.85
     cornerstone
    0.83
     Palestin
    0.76
     Seym
    0.76
     Foundation
    0.73
     fundament
    0.72
    Activations Density 0.006%

    No Known Activations