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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. 4-RES-JB
    11. 4285
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    INDEX
    Explanations

    statements or descriptions of likelihood and possibility

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating risk or potential negative outcomes

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

    No Comments

    Negative Logits
     Avg
    -0.44
     Maxim
    -0.43
     Kaiser
    -0.42
     Reply
    -0.41
     Proxy
    -0.41
     Advertisement
    -0.39
     meanwhile
    -0.39
     Sets
    -0.37
     pictured
    -0.37
     Favorite
    -0.37
    POSITIVE LOGITS
     anymore
    0.51
    yond
    0.49
     feas
    0.49
     fruition
    0.48
     detract
    0.45
     due
    0.45
     altogether
    0.44
    farious
    0.42
     muster
    0.42
     imaginable
    0.42
    Activations Density 4.252%

    No Known Activations