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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. 3-RES-JB
    11. 12619
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    Explanations

    acronyms containing "AG" with varying levels of activation

    oai_token-act-pair · gpt-3.5-turbo

    references to the acronym "AG" associated with various contexts, primarily in awards and organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pper
    -0.70
    ysis
    -0.69
    oulos
    -0.67
    thia
    -0.65
    parable
    -0.63
    dates
    -0.63
     stead
    -0.61
    idence
    -0.61
    byter
    -0.61
     apprehension
    -0.61
    POSITIVE LOGITS
    RAM
    1.12
    allery
    1.04
    ENCY
    1.00
    roup
    0.99
    reement
    0.98
    REE
    0.98
    uild
    0.97
    RIC
    0.97
    UE
    0.96
    AIN
    0.95
    Activations Density 0.007%

    No Known Activations