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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. 23289
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    INDEX
    Explanations

    mentions of things being included

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "included" or references to inclusion

    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
    ingham
    -0.81
    robe
    -0.70
     mood
    -0.62
     manners
    -0.61
     opio
    -0.61
     endurance
    -0.61
    verages
    -0.59
    ggles
    -0.59
    quit
    -0.57
    mit
    -0.57
    POSITIVE LOGITS
     prominently
    1.03
     herein
    0.99
     therein
    0.97
     alongside
    0.80
    ãģĨ
    0.76
     in
    0.75
     Included
    0.72
     Include
    0.71
    ropolitan
    0.70
    clusion
    0.69
    Activations Density 0.113%

    No Known Activations