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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. 1899
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    Explanations

    phrases related to timing or schedules

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to behind-the-scenes activities or representations

    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
     AAC
    -0.77
     moder
    -0.75
     warr
    -0.74
     fade
    -0.74
     enhanced
    -0.73
     fewer
    -0.73
     veget
    -0.68
     renewed
    -0.68
     strengthened
    -0.67
     warning
    -0.67
    POSITIVE LOGITS
    surface
    1.38
    money
    1.33
    distance
    1.33
    same
    1.32
    she
    1.32
    counter
    1.31
    ground
    1.30
    rad
    1.29
    moon
    1.29
    street
    1.28
    Activations Density 0.024%

    No Known Activations