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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 23527
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to legal cases and circumstances

    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
    ufact
    -0.81
    âĢ¢âĢ¢âĢ¢âĢ¢
    -0.80
    SPONSORED
    -0.79
     concurrent
    -0.71
    uously
    -0.67
    REP
    -0.67
    SourceFile
    -0.66
    Column
    -0.65
    repl
    -0.64
     powerfully
    -0.62
    POSITIVE LOGITS
    ayer
    1.15
    mith
    1.01
    anguage
    0.95
    rals
    0.94
    phabet
    0.91
    ists
    0.90
    ibaba
    0.89
    aries
    0.89
    azel
    0.87
    iah
    0.86
    Activations Density 0.011%

    No Known Activations