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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. 4667
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    Explanations

    phrases related to future events or outcomes

    oai_token-act-pair · gpt-3.5-turbo

    various forms of uncertainty and future events

    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
    "},"
    -0.62
    owship
    -0.62
     guiActiveUnfocused
    -0.59
    ousands
    -0.56
    romy
    -0.56
    atro
    -0.55
    hement
    -0.53
    ãĥ´
    -0.52
     Quran
    -0.52
    "))
    -0.50
    POSITIVE LOGITS
     however
    2.03
     though
    1.72
     meanwhile
    1.48
     tho
    1.20
     moreover
    1.15
     therefore
    1.10
     furthermore
    0.88
    Nonetheless
    0.79
     meantime
    0.78
     likewise
    0.77
    Activations Density 0.815%

    No Known Activations