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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. 16670
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    Explanations

    technical terms related to machine learning, data analysis, and statistical methods

    oai_token-act-pair · gpt-3.5-turbo

    terms related to statistical and machine learning techniques

    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
    ibel
    -0.80
    é¾įåĸļ士
    -0.75
    ãĥĥãĥī
    -0.75
    BuyableInstoreAndOnline
    -0.70
    anamo
    -0.70
    ãĥĬ
    -0.67
     Starr
    -0.65
    pired
    -0.60
    Stay
    -0.60
     unpaid
    -0.59
    POSITIVE LOGITS
     techniques
    1.38
     schemes
    1.29
     algorithms
    1.16
     whereby
    1.14
     strategies
    1.12
     methods
    1.11
     mechanisms
    1.09
     technique
    1.06
     tactics
    1.04
     wherein
    1.04
    Activations Density 0.430%

    No Known Activations