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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. 3-RES-JB
    11. 24529
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    Explanations

    dates or time indicators

    oai_token-act-pair · gpt-3.5-turbo

    mentions of future timeframes or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Feldman
    -0.74
    ocker
    -0.69
    lee
    -0.68
     Legions
    -0.67
    enance
    -0.65
     Sinai
    -0.63
    iveness
    -0.62
     Shotgun
    -0.61
     Hebdo
    -0.61
     heterogeneity
    -0.60
    POSITIVE LOGITS
     millenn
    0.89
     week
    0.85
    ĻĤ
    0.84
    NetMessage
    0.81
     generations
    0.79
     generation
    0.78
     neighb
    0.77
     installment
    0.75
     proble
    0.72
     step
    0.72
    Activations Density 0.040%

    No Known Activations