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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. 8-RES-JB
    11. 1883
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    Explanations

    phrases that emphasize ensuring something is done correctly or safely

    oai_token-act-pair · gpt-3.5-turbo

    imperative phrases that emphasize the importance of ensuring or confirming actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    edge
    -0.69
    essions
    -0.64
    emale
    -0.63
    uton
    -0.57
     wheelchair
    -0.57
    apo
    -0.57
    aca
    -0.57
    ungle
    -0.56
    ometown
    -0.56
    ]=
    -0.56
    POSITIVE LOGITS
     yourselves
    1.30
     yourself
    1.27
     your
    0.90
     Yourself
    0.90
     wisely
    0.81
     sparing
    0.79
     thy
    0.78
    cknow
    0.77
     ye
    0.76
     yours
    0.74
    Activations Density 0.214%

    No Known Activations