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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. 7-RES-JB
    11. 14459
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    INDEX
    Explanations

    mentions or references to acquiring, owning, or purchasing items

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the article "a" across various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Contents
    -0.90
    evidence
    -0.82
    Sources
    -0.82
    Links
    -0.79
    Events
    -0.74
    blocks
    -0.74
    assert
    -0.73
    items
    -0.73
    agents
    -0.72
    reports
    -0.71
    POSITIVE LOGITS
     bunch
    1.27
     lot
    1.13
     handful
    1.08
     dime
    1.03
     dozen
    0.96
     few
    0.95
    rouse
    0.95
     hundred
    0.95
     glimpse
    0.95
     plethora
    0.94
    Activations Density 0.589%

    No Known Activations