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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. 12-RES-JB
    11. 2510
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    INDEX
    Explanations

    phrases related to natural disasters and emergencies

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    phrases related to pressure and expectation

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    USS
    -0.83
    EStream
    -0.81
    raltar
    -0.77
     Curious
    -0.77
     Palest
    -0.74
    ACC
    -0.72
    Console
    -0.71
    ModLoader
    -0.70
     Compass
    -0.69
    ILLE
    -0.69
    POSITIVE LOGITS
     dissip
    1.45
     subs
    1.39
     fade
    1.25
     fades
    1.18
     wear
    1.11
     faded
    1.09
     cease
    1.09
     diminish
    1.06
     wears
    1.06
     lessen
    1.05
    Activations Density 0.215%

    No Known Activations