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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 17488
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    INDEX
    Explanations

    phrases related to entries or enrollments

    oai_token-act-pair · gpt-3.5-turbo

    references to entry points or instances in a context involving selection or admission

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Pis
    -0.73
     Dist
    -0.69
     PBS
    -0.66
     pink
    -0.64
     Bit
    -0.61
     film
    -0.61
     bleach
    -0.61
     fund
    -0.60
     Pink
    -0.60
     sexually
    -0.59
    POSITIVE LOGITS
    entry
    4.83
    Entry
    1.92
     Entry
    1.74
     entry
    1.48
    enter
    1.39
    ent
    1.19
    Ent
    0.97
    door
    0.96
     entries
    0.94
    ittance
    0.92
    Activations Density 0.011%

    No Known Activations