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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. 10-RES-JB
    11. 6076
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    Explanations

    phrases related to activities that can be done effortlessly or without interruption

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating ease of use and minimal effort required

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soType
    -0.96
     Facts
    -0.82
    isSpecialOrderable
    -0.77
    realDonaldTrump
    -0.75
    rosso
    -0.71
    Newsletter
    -0.69
    eden
    -0.68
    ciation
    -0.68
    neutral
    -0.68
    ALE
    -0.67
    POSITIVE LOGITS
     hassle
    1.32
     cumbersome
    1.29
     needing
    1.17
     cumbers
    1.16
     worrying
    1.13
     clutter
    1.13
     worry
    1.11
     tedious
    1.08
     bulky
    1.06
     pesky
    1.05
    Activations Density 0.269%

    No Known Activations