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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. 15342
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    Explanations

    terms related to reactions or replies

    oai_token-act-pair · gpt-3.5-turbo

    references to different types of responses, indicating reactions or feedback in various contexts

    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
    rome
    -0.78
    ramer
    -0.74
    cutting
    -0.68
    BALL
    -0.66
     Thieves
    -0.62
     Zot
    -0.61
    cin
    -0.61
     carp
    -0.61
    raf
    -0.61
    rolled
    -0.61
    POSITIVE LOGITS
     thereto
    1.02
     response
    0.89
     responses
    0.81
    ivated
    0.80
    naires
    0.79
    aries
    0.78
     Response
    0.77
    ivation
    0.75
     reaction
    0.74
     Reaction
    0.74
    Activations Density 0.035%

    No Known Activations