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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. 7-RES-JB
    11. 23096
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    Explanations

    phrases related to project management

    oai_token-act-pair · gpt-3.5-turbo

    mentions of various projects

    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
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    Negative Logits
    osate
    -0.93
    vae
    -0.81
    ãģĦ
    -0.79
    gel
    -0.77
    combe
    -0.74
    dos
    -0.73
    DOS
    -0.73
    alties
    -0.68
    tesque
    -0.68
    va
    -0.68
    POSITIVE LOGITS
     Gutenberg
    1.16
    ors
    1.00
     undertaken
    0.94
    smanship
    0.85
    ivity
    0.84
    iverse
    0.81
    ions
    0.80
     projects
    0.78
     underway
    0.77
    ivism
    0.77
    Activations Density 0.047%

    No Known Activations