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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. 2-RES-JB
    11. 18379
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    Explanations

    proper nouns or names, particularly the ones ending with 'in'

    oai_token-act-pair · gpt-3.5-turbo

    the preposition "in" or references to locations or contexts typically involving "in."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     warr
    -0.83
     redund
    -0.81
     behav
    -0.78
    EStream
    -0.77
    ģĸ
    -0.76
    ¥ŀ
    -0.74
     tremend
    -0.73
     satell
    -0.72
     trave
    -0.71
     impe
    -0.71
    POSITIVE LOGITS
    strument
    1.42
    aug
    1.30
    iti
    1.27
    jury
    1.26
    visible
    1.22
    flation
    1.16
    jured
    1.15
    vasive
    1.15
    juries
    1.14
    cluded
    1.10
    Activations Density 0.044%

    No Known Activations