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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. 0-RES-JB
    11. 18820
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    Explanations

    acronyms related to a particular entity

    oai_token-act-pair · gpt-3.5-turbo

    references to the stock represented by the abbreviation "TW."

    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
     Lieberman
    -0.72
     Berg
    -0.64
    idated
    -0.64
    ported
    -0.62
    field
    -0.61
     membrane
    -0.60
    hawks
    -0.60
    cium
    -0.60
     Crate
    -0.59
     Libre
    -0.59
    POSITIVE LOGITS
    TW
    3.56
     TW
    3.45
     TWO
    1.24
    tw
    1.20
    INST
    1.16
     HUN
    1.13
    LI
    1.12
     ELE
    1.11
    onew
    1.10
     THREE
    1.10
    Activations Density 0.022%

    No Known Activations