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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. 11-RES-JB
    11. 22085
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    Explanations

    references to exploring, studying, or analyzing various topics and systems

    oai_token-act-pair · gpt-3.5-turbo

    phrases that explore the concept of "how" various processes or phenomena occur

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lehem
    -0.80
    hyde
    -0.75
    ãĥŃ
    -0.74
    ridor
    -0.73
    deen
    -0.73
    aredevil
    -0.73
    inth
    -0.72
    gur
    -0.72
    ktop
    -0.70
    ãĤ¹
    -0.70
    POSITIVE LOGITS
     differently
    0.97
    soever
    0.91
     much
    0.82
     disparate
    0.79
     prevalent
    0.79
     efficiently
    0.78
     poorly
    0.75
     easily
    0.74
     seamlessly
    0.74
     closely
    0.74
    Activations Density 0.094%

    No Known Activations