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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. 0-RES-JB
    11. 8078
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    INDEX
    Explanations

    phrases related to understanding or grasping concepts or physical objects

    oai_token-act-pair · gpt-3.5-turbo

    words related to understanding or grasping concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     anonymously
    -0.73
     Bon
    -0.67
    rol
    -0.65
    wal
    -0.63
    ender
    -0.63
     Chan
    -0.62
     specifically
    -0.60
    Bon
    -0.60
    iday
    -0.59
    idays
    -0.59
    POSITIVE LOGITS
     grasp
    3.84
     grasped
    2.17
     grasping
    2.06
     grip
    1.61
     comprehension
    1.54
     comprehend
    1.54
     grips
    1.45
     grapple
    1.39
     embrace
    1.36
     clut
    1.24
    Activations Density 0.021%

    No Known Activations