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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. 3-RES-JB
    11. 9708
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    Explanations

    phrases within parentheses

    oai_token-act-pair · gpt-3.5-turbo

    sentences that end with a period

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ilion
    -0.81
    ework
    -0.80
    imates
    -0.76
    jah
    -0.73
    isen
    -0.71
    ãĥIJ
    -0.71
    ral
    -0.70
    romy
    -0.67
    ãĤ¹
    -0.67
    ys
    -0.67
    POSITIVE LOGITS
    luaj
    0.80
     Anyway
    0.79
    uits
    0.76
     Conversely
    0.76
    CLASSIFIED
    0.75
     srfAttach
    0.74
     Similarly
    0.74
     Likewise
    0.73
     Those
    0.73
     Needless
    0.72
    Activations Density 0.029%

    No Known Activations