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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. 3-RES-JB
    11. 12346
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    Explanations

    references to social gatherings or events

    oai_token-act-pair · gpt-3.5-turbo

    references to parties or social gatherings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Marketable
    -0.80
    obic
    -0.73
    obe
    -0.70
    onday
    -0.68
    iary
    -0.68
    twitter
    -0.66
     Wyatt
    -0.63
     Stafford
    -0.63
    alam
    -0.63
     Bolt
    -0.63
    POSITIVE LOGITS
    goers
    1.13
    tail
    0.86
    agogue
    0.76
     enthusi
    0.74
    ratulations
    0.73
    eering
    0.73
    hood
    0.72
    agne
    0.72
    holders
    0.71
    Party
    0.70
    Activations Density 0.032%

    No Known Activations