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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. 9-RES-JB
    11. 13091
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    acronyms or abbreviations related to organizations and initiatives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    given
    -0.66
    bows
    -0.64
    king
    -0.62
    jon
    -0.62
    rooms
    -0.62
     bir
    -0.61
    enegger
    -0.60
    lets
    -0.60
    manship
    -0.59
     gorilla
    -0.59
    POSITIVE LOGITS
    ENA
    1.17
    ALT
    1.15
    ETS
    1.13
    SA
    1.12
    AR
    1.11
    EN
    1.10
    ADS
    1.10
    ACA
    1.09
    ULAR
    1.08
    EL
    1.08
    Activations Density 0.162%

    No Known Activations