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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. 20927
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names and 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
    sea
    -0.74
    Discussion
    -0.73
    MET
    -0.72
    EngineDebug
    -0.71
    WAR
    -0.70
     è£ı
    -0.69
    lees
    -0.68
    HOU
    -0.68
    CAP
    -0.67
    venge
    -0.65
    POSITIVE LOGITS
    imb
    1.23
    odies
    0.88
    uilt
    0.88
    ilib
    0.87
    oche
    0.85
    ilit
    0.82
    ead
    0.81
    edience
    0.79
    ursed
    0.78
    amate
    0.78
    Activations Density 0.011%

    No Known Activations