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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. 2981
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    Explanations

    proper nouns, specifically focusing on names and titles related to religion or individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names and titles, particularly those related to organizations and historical figures

    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
    enegger
    -0.93
    stakes
    -0.81
    ragon
    -0.79
    OHN
    -0.76
    Condition
    -0.74
    hander
    -0.73
    arijuana
    -0.71
    hower
    -0.69
    store
    -0.67
    gur
    -0.67
    POSITIVE LOGITS
    rees
    0.80
     Anglic
    0.75
    asus
    0.73
    ī
    0.70
    acus
    0.70
    atio
    0.70
    rative
    0.70
     chap
    0.68
     Anth
    0.68
    Ļ½
    0.68
    Activations Density 0.013%

    No Known Activations