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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. 4190
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    Explanations

    names related to specific individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names and specific locations

    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
    ngth
    -0.81
    vier
    -0.77
     Dame
    -0.68
    asury
    -0.68
    ULTS
    -0.65
    ysis
    -0.65
    Ĵ
    -0.64
     Tant
    -0.62
    vation
    -0.61
    CN
    -0.61
    POSITIVE LOGITS
    ially
    0.99
    inates
    0.90
    aroo
    0.86
    iated
    0.86
    sighted
    0.86
    lain
    0.85
    ional
    0.85
    iary
    0.82
    iator
    0.79
    etts
    0.78
    Activations Density 0.030%

    No Known Activations