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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. 4968
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    Explanations

    data related to quantities or measurements

    oai_token-act-pair · gpt-3.5-turbo

    numeric data or statistical information related to people and time

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥķãĤ©
    -0.81
    Sold
    -0.76
    Sil
    -0.71
     Ku
    -0.71
    Enlarge
    -0.70
    Cu
    -0.70
    Tor
    -0.70
    Bul
    -0.70
    Res
    -0.69
    NAT
    -0.69
    POSITIVE LOGITS
     year
    1.34
     YEAR
    1.09
     Year
    1.07
     day
    1.03
     week
    1.01
     years
    0.99
     time
    0.99
     hour
    0.98
     period
    0.97
    year
    0.96
    Activations Density 0.294%

    No Known Activations