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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. 9-RES-JB
    11. 5006
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    INDEX
    Explanations

    references to specific entities or fictional characters

    oai_token-act-pair · gpt-3.5-turbo

    references to popular culture and media

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mediate
    -0.85
    imester
    -0.82
    ilial
    -0.81
     Intermediate
    -0.80
    etermination
    -0.75
    terness
    -0.75
     Agreement
    -0.73
    isan
    -0.73
    critical
    -0.72
    Economic
    -0.70
    POSITIVE LOGITS
     sculptures
    1.23
     costumes
    1.14
     pics
    1.14
     selfies
    1.12
     stunt
    1.09
     stunts
    1.09
     mascot
    1.09
     photographed
    1.09
     selfie
    1.07
     spoof
    1.07
    Activations Density 1.230%

    No Known Activations