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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. 16090
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    Explanations

    phrases related to conjuring or imagining something

    oai_token-act-pair · gpt-3.5-turbo

    terms related to creating or invoking ideas and concepts

    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
    imura
    -0.80
    ocene
    -0.70
    iary
    -0.70
    amoto
    -0.68
    ow
    -0.66
    hill
    -0.66
    esta
    -0.65
     Rebellion
    -0.64
     variance
    -0.62
     exception
    -0.61
    POSITIVE LOGITS
    urer
    0.88
    ure
    0.83
    unct
    0.81
    urers
    0.77
    eger
    0.76
    uration
    0.76
    uel
    0.73
    ãĥ¥
    0.73
    quel
    0.72
    uss
    0.70
    Activations Density 0.067%

    No Known Activations