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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. 11-RES-JB
    11. 5627
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    Explanations

    phrases related to the inclusion or exclusion of something in a particular context

    oai_token-act-pair · gpt-3.5-turbo

    references to inclusion or exclusion in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    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
     endurance
    -0.56
    ugu
    -0.55
     Skydragon
    -0.53
    wolves
    -0.53
     Nightmares
    -0.52
    achine
    -0.52
    Shift
    -0.51
    ggles
    -0.50
     administ
    -0.50
    uv
    -0.50
    POSITIVE LOGITS
     prominently
    1.25
     therein
    1.06
     among
    0.92
     herein
    0.91
     amongst
    0.89
     alongside
    0.88
     in
    0.84
     within
    0.77
     here
    0.74
     inclusion
    0.73
    Activations Density 0.121%

    No Known Activations