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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. 7792
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    Explanations

    phrases related to general statements, statistics, or observations

    oai_token-act-pair · gpt-3.5-turbo

    words indicating frequency or generality

    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
    OTOS
    -0.61
     consequential
    -0.61
     Pieces
    -0.60
     Seah
    -0.59
     Gothic
    -0.59
     Byzantine
    -0.59
     Keeper
    -0.59
    Alias
    -0.58
     Krypt
    -0.57
    Asset
    -0.57
    POSITIVE LOGITS
     owe
    1.27
     reside
    1.22
     deserve
    1.19
     seem
    1.17
     aren
    1.16
     belong
    1.15
     rely
    1.15
     have
    1.12
     comprise
    1.12
     prefer
    1.11
    Activations Density 0.202%

    No Known Activations