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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. 17939
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    Explanations

    phrases related to rankings or ordering

    oai_token-act-pair · gpt-3.5-turbo

    references to rankings or statistical comparisons

    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
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    No Comments

    Negative Logits
    ĪĴ
    -0.73
    erent
    -0.72
    xual
    -0.71
    tsy
    -0.70
    omsky
    -0.68
    lique
    -0.68
    »Ĵ
    -0.68
    enegger
    -0.65
    enta
    -0.65
    ypes
    -0.64
    POSITIVE LOGITS
     surpass
    1.16
    behind
    1.06
     boasting
    1.01
     ranking
    0.96
     averaging
    0.94
     comprising
    0.89
     according
    0.87
     topping
    0.86
    along
    0.86
     estimating
    0.85
    Activations Density 0.345%

    No Known Activations