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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. 8-RES-JB
    11. 6412
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    Explanations

    phrases describing someone or something

    oai_token-act-pair · gpt-3.5-turbo

    references to fictional characters or storytelling elements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     VIDEOS
    -0.94
    onies
    -0.85
    olutions
    -0.78
     suites
    -0.78
    alysis
    -0.76
     calendars
    -0.76
    seys
    -0.75
     platforms
    -0.75
     departures
    -0.74
     exposures
    -0.74
    POSITIVE LOGITS
     himself
    1.31
     Adolf
    1.05
     Himself
    1.03
    someone
    0.99
     dictator
    0.98
     persona
    0.96
     narrator
    0.96
     businessman
    0.96
     ruler
    0.93
     grandson
    0.93
    Activations Density 0.833%

    No Known Activations