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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. 6-RES-JB
    11. 14991
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    Explanations

    information about individuals being affected by different events or situations

    oai_token-act-pair · gpt-3.5-turbo

    pronouns referring to individuals in various situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     understatement
    -0.77
     Canaver
    -0.75
     Moons
    -0.63
     Sug
    -0.63
     Speedway
    -0.62
     Nost
    -0.62
     Monteneg
    -0.62
     Tos
    -0.62
     sarc
    -0.62
     Neph
    -0.62
    POSITIVE LOGITS
    've
    1.05
     arrived
    0.96
    'd
    0.92
     started
    0.91
     began
    0.91
     entered
    0.89
     became
    0.87
     commenced
    0.85
     ceased
    0.84
    're
    0.82
    Activations Density 0.155%

    No Known Activations