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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 19990
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    Explanations

    terms related to historical facts and events

    oai_token-act-pair · gpt-3.5-turbo

    references to common food items and their cultural significance

    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
     Saying
    -0.77
     sqor
    -0.74
    cknow
    -0.73
    «ĺ
    -0.71
    WAY
    -0.68
    PUT
    -0.68
    Write
    -0.65
     Door
    -0.64
     Closing
    -0.64
     Waiting
    -0.63
    POSITIVE LOGITS
     originated
    1.24
     persists
    1.24
     flourished
    1.19
     dominates
    1.19
     attracts
    1.18
     thri
    1.17
     became
    1.16
     existed
    1.10
     prolifer
    1.08
     rarely
    1.08
    Activations Density 0.478%

    No Known Activations