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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. 10788
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    INDEX
    Explanations

    names of people or places

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific individuals or characters

    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
    xual
    -0.79
    geist
    -0.70
     indicative
    -0.68
    cemic
    -0.65
     comparative
    -0.65
     crawl
    -0.65
    ergy
    -0.63
    HCR
    -0.63
     prevailing
    -0.62
    dose
    -0.62
    POSITIVE LOGITS
    ril
    1.13
    rolet
    0.93
    ota
    0.88
    arna
    0.88
    aji
    0.87
    rons
    0.87
    lov
    0.84
    atars
    0.84
    anas
    0.82
    iva
    0.81
    Activations Density 0.008%

    No Known Activations