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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. 1-RES-JB
    11. 2799
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    Explanations

    specific mentions of the word "settle" typically indicating resolution or decision-making in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "settle" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ammy
    -0.80
    ¥ŀ
    -0.76
    icipated
    -0.75
    enic
    -0.71
    erve
    -0.69
    oppy
    -0.69
    inges
    -0.69
    ocalypse
    -0.68
    saf
    -0.68
    azi
    -0.68
    POSITIVE LOGITS
     settle
    1.25
     settling
    1.02
     settles
    1.00
     settlement
    0.87
    mate
    0.84
     Settlement
    0.82
    sett
    0.81
     Sett
    0.77
     settled
    0.77
     Lauder
    0.75
    Activations Density 0.006%

    No Known Activations