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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. 4-RES-JB
    11. 15506
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    Explanations

    phrases related to the process of making or creating something

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate the act of creation or production

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

    No Comments

    Negative Logits
    ban
    -0.68
    externalActionCode
    -0.66
     iod
    -0.66
     Dalai
    -0.65
     Adin
    -0.65
     Investigative
    -0.65
     Pengu
    -0.65
    ---------
    -0.63
    imaru
    -0.63
     Territ
    -0.63
    POSITIVE LOGITS
     sure
    1.02
    otype
    0.94
    itions
    0.87
    ÄŁ
    0.87
    otypes
    0.83
    Maker
    0.81
    itives
    0.75
    ezvous
    0.73
    ampunk
    0.72
    hift
    0.71
    Activations Density 0.117%

    No Known Activations