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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. 24037
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    Explanations

    words related to things that are insignificant or trivial

    oai_token-act-pair · gpt-3.5-turbo

    terms and phrases that downplay or belittle significance

    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
    artney
    -0.79
    angelo
    -0.70
    elson
    -0.66
    OHN
    -0.66
    ioch
    -0.65
    ktop
    -0.61
    edge
    -0.61
    asio
    -0.60
    yer
    -0.58
    shape
    -0.58
    POSITIVE LOGITS
    ities
    1.10
    ity
    1.07
    istically
    0.96
    izing
    0.94
    itized
    0.91
    izes
    0.90
    ization
    0.89
     inconven
    0.87
    ised
    0.87
    ifiable
    0.87
    Activations Density 0.012%

    No Known Activations