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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. 4-RES-JB
    11. 22444
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    Explanations

    references to articles, researchers, and studies

    oai_token-act-pair · gpt-3.5-turbo

    the article "a" in various contexts

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

    No Comments

    Negative Logits
     Jagu
    -0.85
    Edit
    -0.75
    Contents
    -0.71
    ESPN
    -0.70
    tests
    -0.70
    grounds
    -0.68
     Amend
    -0.66
    Hon
    -0.65
    heses
    -0.64
    lest
    -0.64
    POSITIVE LOGITS
     lot
    1.13
     plethora
    1.10
     huge
    1.05
     sizable
    1.04
     significant
    1.02
     bunch
    1.01
     massive
    1.00
     slew
    0.99
     sizeable
    0.97
     tremendous
    0.97
    Activations Density 0.606%

    No Known Activations