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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. 8-RES-JB
    11. 8473
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    Explanations

    domain-specific abbreviations, acronyms, or entities in legal, military, and technical contexts

    oai_token-act-pair · gpt-3.5-turbo

    abbreviations or acronyms related to various organizations and concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iary
    -0.74
    rem
    -0.60
     guiIcon
    -0.58
    comings
    -0.56
     Dracula
    -0.56
     Pwr
    -0.56
     Volks
    -0.56
    aviour
    -0.55
     Welsh
    -0.55
     Gors
    -0.55
    POSITIVE LOGITS
    ER
    1.29
    ETS
    1.27
    ET
    1.23
    ERS
    1.20
    NING
    1.17
    MAP
    1.17
    ARS
    1.17
    NER
    1.16
    AR
    1.14
    ELY
    1.14
    Activations Density 0.173%

    No Known Activations