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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. 19737
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    Explanations

    quantitative measurements and comparisons

    oai_token-act-pair · gpt-3.5-turbo

    quantitative measurements and comparative values

    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
     looph
    -0.69
    ĻĤ
    -0.66
     millenn
    -0.60
    BuyableInstoreAndOnline
    -0.60
    ocene
    -0.57
    DonaldTrump
    -0.56
     Written
    -0.55
    ibrary
    -0.54
     Sic
    -0.52
     Emblem
    -0.51
    POSITIVE LOGITS
     versa
    1.13
     thereafter
    1.12
     alike
    1.04
     accordingly
    1.01
     thereto
    0.95
     consequently
    0.94
     thereof
    0.93
     ensued
    0.92
     expects
    0.92
     consequ
    0.90
    Activations Density 0.783%

    No Known Activations