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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. 3-RES-JB
    11. 17472
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    Explanations

    phrases related to making a positive impact or change

    oai_token-act-pair · gpt-3.5-turbo

    references to making a significant impact or change

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     attained
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    earchers
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     towed
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     fabricated
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     achieved
    -0.65
    oved
    -0.65
     Cherry
    -0.63
     reached
    -0.60
     frust
    -0.60
    iscovered
    -0.57
    POSITIVE LOGITS
    ãħĭ
    0.76
    çİĭ
    0.74
    ãĥĥãĤ¯
    0.74
    Reloaded
    0.73
    ãĤ¯
    0.73
    sense
    0.68
    DEV
    0.68
    IRED
    0.68
    Wan
    0.67
    Subscribe
    0.66
    Activations Density 0.201%

    No Known Activations