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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. 16476
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    Explanations

    information related to financial transactions and scrutinizing them

    oai_token-act-pair · gpt-3.5-turbo

    references to numerical values or calculations

    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
    BuyableInstoreAndOnline
    -0.85
    æĪ¦
    -0.82
    âĺħâĺħ
    -0.82
    ãĥĵ
    -0.80
    åī
    -0.78
    ãģĵ
    -0.77
    ãĤŃ
    -0.76
    ãĥķãĤ©
    -0.75
    ãĤ¹ãĥĪ
    -0.75
    ãĤ«
    -0.75
    POSITIVE LOGITS
    ividual
    1.10
     tion
    1.04
    erent
    1.03
     tha
    1.03
    lished
    0.97
    icient
    0.97
    tion
    0.95
    cture
    0.95
    bably
    0.94
    ween
    0.92
    Activations Density 0.416%

    No Known Activations