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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. 4-RES-JB
    11. 24384
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    Explanations

    phrases and terms related to construction projects and investments

    oai_token-act-pair · gpt-3.5-turbo

    mentions of projects and their details

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

    No Comments

    Negative Logits
    vae
    -0.80
    lua
    -0.72
    dos
    -0.72
    DOS
    -0.69
    vana
    -0.66
    nn
    -0.66
    outube
    -0.65
     Keys
    -0.65
    mson
    -0.64
     Corn
    -0.64
    POSITIVE LOGITS
     undertaken
    0.98
     Gutenberg
    0.95
     projects
    0.85
     funded
    0.84
     underway
    0.81
     project
    0.80
    ors
    0.78
    ions
    0.77
    ually
    0.77
    JECT
    0.74
    Activations Density 0.030%

    No Known Activations