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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. 12-RES-JB
    11. 3631
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    Explanations

    phrases related to additional features or enhancements in a given context, particularly in technology or products

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    references to additional features or options available for products and services

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     outnumbered
    -0.61
     stretches
    -0.60
     THR
    -0.58
     [];
    -0.54
     resemb
    -0.54
    âĢķ
    -0.52
    theless
    -0.52
     throats
    -0.51
    naire
    -0.51
     firsthand
    -0.49
    POSITIVE LOGITS
    endum
    1.49
    ictive
    1.34
    ictions
    1.29
    icts
    1.28
    ressing
    1.27
    resses
    1.25
    enda
    1.25
    itions
    1.24
    ition
    1.22
    icted
    1.22
    Activations Density 0.027%

    No Known Activations