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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. 6-RES-JB
    6. 1278
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    Explanations

    phrases related to open-ended activities or concepts

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating open-endedness or flexibility

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ulhu
    -0.78
     Khan
    -0.77
     Zam
    -0.77
     Torres
    -0.74
     Imran
    -0.73
     Moreno
    -0.70
     Phi
    -0.70
     Roberts
    -0.69
     Schumer
    -0.69
     Shah
    -0.68
    POSITIVE LOGITS
    minded
    1.17
    bodied
    1.11
    space
    1.11
    eyed
    1.10
    poll
    1.10
    advertising
    1.00
    label
    0.99
    enough
    0.99
    circ
    0.99
    skinned
    0.97
    Activations Density 0.059%

    No Known Activations