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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. 2-RES-JB
    11. 15460
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    Explanations

    corporate or personal names

    oai_token-act-pair · gpt-3.5-turbo

    specific company names and notable individuals associated with technology and entertainment industries

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    otle
    -1.10
    mine
    -0.87
    ilage
    -0.80
    emis
    -0.78
    ga
    -0.77
    gence
    -0.77
    iHUD
    -0.76
    gin
    -0.75
    gdala
    -0.75
    bling
    -0.75
    POSITIVE LOGITS
    icago
    0.71
     specificity
    0.66
    ebin
    0.66
    âĶĢ
    0.65
     Pros
    0.64
     Vortex
    0.64
     ..............
    0.63
     Shinra
    0.63
     Inquis
    0.63
     intrins
    0.62
    Activations Density 0.024%

    No Known Activations