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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. 2703
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    Explanations

    phrases related to creating or developing something

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate future intentions or potential outcomes

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Cards
    -0.66
     Formation
    -0.66
     Berm
    -0.61
     Seek
    -0.60
     Planning
    -0.60
     Cheong
    -0.60
     Bucc
    -0.59
     Parking
    -0.59
     Medline
    -0.58
     Devices
    -0.58
    POSITIVE LOGITS
     satisfies
    1.11
     meets
    0.89
     lasts
    0.89
     resembles
    0.87
     conform
    0.87
     convin
    0.86
     improves
    0.84
     fulf
    0.83
     fits
    0.82
     inspires
    0.81
    Activations Density 0.203%

    No Known Activations