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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. 6-RES-JB
    11. 9762
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    Explanations

    ways to perform actions or make changes

    oai_token-act-pair · gpt-3.5-turbo

    verbs indicating actions related to problem-solving or achieving something

    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
     Hague
    -0.64
     Jur
    -0.62
     Fuj
    -0.60
     Suffolk
    -0.60
     Cah
    -0.59
     gotta
    -0.58
     Horton
    -0.58
     Dracula
    -0.58
     Berk
    -0.57
     Bog
    -0.56
    POSITIVE LOGITS
     safely
    0.96
     easily
    0.94
     anytime
    0.92
     cheaply
    0.87
     anywhere
    0.84
     offline
    0.83
     manually
    0.83
     securely
    0.79
     separately
    0.78
     indefinitely
    0.77
    Activations Density 0.157%

    No Known Activations