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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. 11-RES-JB
    11. 1350
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    Explanations

    numerical values and mathematical symbols

    oai_token-act-pair · gpt-3.5-turbo

    mathematical or statistical formatting and notation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     livest
    -0.67
    eatures
    -0.63
     dinners
    -0.62
    dozen
    -0.60
    iami
    -0.59
    wyn
    -0.57
     Contra
    -0.57
     encount
    -0.56
    ãĤ·ãĥ£
    -0.55
    NetMessage
    -0.55
    POSITIVE LOGITS
     0
    2.43
    0
    1.52
     1
    1.24
     âĪĴ
    1.20
     zero
    0.99
     NULL
    0.92
     01
    0.92
     ½
    0.91
     2
    0.90
     nil
    0.90
    Activations Density 0.090%

    No Known Activations