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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. 11277
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    Explanations

    phrases related to publications or publications themselves

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "Mag" in various contexts

    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
    ãģį
    -0.88
    OPLE
    -0.70
     kHz
    -0.66
     archived
    -0.61
     Vaugh
    -0.58
     Hurricanes
    -0.58
     Rockefeller
    -0.58
    ãĤĤ
    -0.57
     shortened
    -0.57
    ATIVE
    -0.57
    POSITIVE LOGITS
    istrate
    1.56
    istrates
    1.50
    azines
    1.46
    nesium
    1.43
    ikarp
    1.30
    netic
    1.29
    ento
    1.23
    pie
    1.20
    enta
    1.17
    dal
    1.12
    Activations Density 0.032%

    No Known Activations