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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. 9-RES-JB
    11. 2845
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    Explanations

    phrases related to paving the way for something

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate the preparation or facilitation of future events or developments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gat
    -0.66
     depended
    -0.65
     namely
    -0.64
    omas
    -0.64
    utan
    -0.62
    BUG
    -0.61
     aloud
    -0.60
     indulge
    -0.60
     dear
    -0.59
     hereby
    -0.59
    POSITIVE LOGITS
     entirety
    0.95
     flood
    0.95
    ses
    0.93
     way
    0.90
     gap
    0.87
     proverbial
    0.86
     groundwork
    0.84
     envelope
    0.84
     door
    0.84
     doorway
    0.80
    Activations Density 0.106%

    No Known Activations