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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. 7-RES-JB
    11. 21382
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    Explanations

    words related to complex mental processes or concepts

    oai_token-act-pair · gpt-3.5-turbo

    references to technology or concepts related to mind-boggling phenomena

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    merce
    -0.69
    cake
    -0.68
    iatus
    -0.66
    ailability
    -0.64
    ModLoader
    -0.64
     Membership
    -0.62
     Coverage
    -0.62
    DN
    -0.61
    emale
    -0.61
    edo
    -0.61
    POSITIVE LOGITS
     McAuliffe
    0.78
    matter
    0.72
     num
    0.66
    ļ
    0.65
     Gork
    0.62
    ciating
    0.61
    Ŀ
    0.61
    ãĤ´ãĥ³
    0.61
    ihilation
    0.59
     wandering
    0.59
    Activations Density 0.097%

    No Known Activations