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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. 9-RES-JB
    11. 2429
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    Explanations

    phrases related to judgments/opinions

    oai_token-act-pair · gpt-3.5-turbo

    negations and expressions of imperfection or inadequacy

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     sidx
    -0.71
    lev
    -0.64
    GBT
    -0.64
    çļ
    -0.63
    alez
    -0.63
     contention
    -0.61
    ItemThumbnailImage
    -0.61
    ARM
    -0.61
    Continue
    -0.60
    ç«
    -0.59
    POSITIVE LOGITS
     necessarily
    1.32
     infall
    1.13
     inherently
    0.97
     magically
    0.97
     always
    0.96
     uniformly
    0.94
    always
    0.87
     immune
    0.86
     automatically
    0.83
     universally
    0.83
    Activations Density 0.322%

    No Known Activations