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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. 11154
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    Explanations

    time-related phrases

    oai_token-act-pair · gpt-3.5-turbo

    numerical values and references to time periods

    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
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    No Comments

    Negative Logits
    SY
    -0.85
    ãĥķãĤ©
    -0.80
    roc
    -0.79
    rac
    -0.79
    RIC
    -0.78
    Kin
    -0.78
    Æ
    -0.77
    RN
    -0.76
    Ïģ
    -0.75
    Ni
    -0.75
    POSITIVE LOGITS
     year
    1.11
     week
    0.96
     day
    0.92
     YEAR
    0.90
     month
    0.88
     millennium
    0.86
     hour
    0.86
    iversary
    0.84
     epoch
    0.84
     weekend
    0.84
    Activations Density 0.330%

    No Known Activations