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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. 10-RES-JB
    11. 2919
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    Explanations

    instances of the word "that" followed by a certain context

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "that" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inx
    -0.75
    ulner
    -0.74
    quished
    -0.60
    inders
    -0.60
    eners
    -0.60
    ricanes
    -0.57
    icons
    -0.57
    listed
    -0.57
     Pwr
    -0.56
    yip
    -0.56
    POSITIVE LOGITS
     regard
    1.66
     vein
    1.39
     case
    1.29
     circumstance
    1.28
     respect
    1.27
     manner
    1.23
     context
    1.22
     respects
    1.21
     regards
    1.20
     instance
    1.19
    Activations Density 0.082%

    No Known Activations