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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. 23306
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    Explanations

    expressions of gratitude and thanks

    oai_token-act-pair · gpt-3.5-turbo

    expressions of gratitude

    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
    conserv
    -0.68
    discrimination
    -0.67
    estyle
    -0.66
    thinkable
    -0.66
    istical
    -0.66
    rosso
    -0.62
    boats
    -0.62
    ONSORED
    -0.61
    iring
    -0.60
    ieri
    -0.60
    POSITIVE LOGITS
     everyone
    1.23
     everybody
    1.10
     whoever
    1.04
     Almighty
    0.89
     those
    0.88
     commenter
    0.88
    everyone
    0.86
     anyone
    0.85
     all
    0.84
     Everyone
    0.81
    Activations Density 0.104%

    No Known Activations