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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. 4-RES-JB
    11. 2022
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    Explanations

    phrases related to causality or progression in a series of events

    oai_token-act-pair · gpt-3.5-turbo

    references to causality and events leading to significant outcomes

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

    No Comments

    Negative Logits
    soever
    -0.79
    AppData
    -0.78
    bones
    -0.71
    assets
    -0.71
    bots
    -0.70
    terday
    -0.70
    Pros
    -0.67
    sites
    -0.66
    frames
    -0.65
    btn
    -0.65
    POSITIVE LOGITS
     realization
    1.00
     downfall
    0.99
     deterioration
    0.94
     shootout
    0.92
     demise
    0.85
     inevitable
    0.85
     destruction
    0.84
     conclusion
    0.82
     passage
    0.80
     buildup
    0.80
    Activations Density 0.192%

    No Known Activations