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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 2377
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    Explanations

    mentions of the word "Pixar"

    oai_token-act-pair · gpt-3.5-turbo

    references to Pixar

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lehem
    -0.74
    ¥µ
    -0.72
    ufact
    -0.71
    TPS
    -0.68
    riter
    -0.67
    udder
    -0.67
     behavi
    -0.66
    INST
    -0.66
    iage
    -0.66
    à¨
    -0.65
    POSITIVE LOGITS
    es
    1.10
    avier
    0.96
    eus
    0.95
    xes
    0.94
    xus
    0.91
    iang
    0.89
    edo
    0.89
    uries
    0.89
    iao
    0.88
    xon
    0.85
    Activations Density 0.027%

    No Known Activations