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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. 796
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    Explanations

    phrases related to stating or questioning opinions and beliefs

    oai_token-act-pair · gpt-3.5-turbo

    the word "that" 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
    "],"
    -0.60
    ron
    -0.59
     Pass
    -0.57
     Recover
    -0.56
    istics
    -0.54
    ãĤĬ
    -0.54
     Champ
    -0.54
     Haz
    -0.54
    ãĥ¥
    -0.54
    mi
    -0.53
    POSITIVE LOGITS
     pesky
    0.84
    cher
    0.82
     fateful
    0.82
    soever
    0.77
     mattered
    0.76
     resulted
    0.74
     carbohyd
    0.74
    iago
    0.73
    eatures
    0.72
    ÃĥÃĤ
    0.72
    Activations Density 0.534%

    No Known Activations