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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. 9-RES-JB
    11. 7245
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    Explanations

    phrases related to being capable of doing something

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate capability or potential

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Registered
    -0.76
    cloth
    -0.76
    isite
    -0.72
    bilt
    -0.70
    scene
    -0.66
    gun
    -0.66
    era
    -0.65
    backer
    -0.64
     Shots
    -0.63
     Tradition
    -0.63
    POSITIVE LOGITS
     delivering
    1.09
     sustaining
    1.06
     handling
    1.06
     withstand
    1.04
     inflicting
    1.03
     achieving
    1.02
     detecting
    1.02
     producing
    1.00
     extracting
    1.00
     generating
    0.99
    Activations Density 0.070%

    No Known Activations