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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. 10-RES-JB
    11. 3351
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    INDEX
    Explanations

    phrases related to recounting or expressing regret about past events

    oai_token-act-pair · gpt-3.5-turbo

    inquiries about events or actions that have occurred

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etary
    -0.75
    claimer
    -0.71
    urations
    -0.69
    iscover
    -0.69
    izen
    -0.68
    uum
    -0.67
    enegger
    -0.65
    onomic
    -0.64
     scratch
    -0.64
    scan
    -0.59
    POSITIVE LOGITS
     transpired
    1.92
     happened
    1.85
     occurred
    1.48
     ensued
    1.38
     happ
    1.38
     happens
    1.35
     unfolded
    1.32
     Happ
    1.17
     awaited
    1.07
     awaits
    1.07
    Activations Density 0.116%

    No Known Activations