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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
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    Explanations

    the word "we"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "we," indicating a focus on collective identity or group references

    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
     quo
    -0.74
     contradictions
    -0.65
     gratification
    -0.64
     citations
    -0.63
     derail
    -0.62
     privately
    -0.61
     pedoph
    -0.61
     derailed
    -0.60
     sucker
    -0.60
     succeeding
    -0.60
    POSITIVE LOGITS
    bsite
    1.45
    eping
    1.16
    aning
    1.05
    ighed
    1.03
    lder
    1.01
    aving
    1.01
    eks
    1.00
    akening
    0.99
    IRD
    0.98
    ibo
    0.98
    Activations Density 0.058%

    No Known Activations