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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. 1-RES-JB
    11. 9060
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    Explanations

    annotations or references related to specific names or entities

    oai_token-act-pair · gpt-3.5-turbo

    references to specific competitive events or organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rique
    -0.88
    heastern
    -0.86
    ERAL
    -0.84
    erd
    -0.84
    riter
    -0.84
    fighter
    -0.80
    lement
    -0.79
    wei
    -0.78
    enance
    -0.76
    iculty
    -0.75
    POSITIVE LOGITS
     Parenthood
    0.80
     Tanks
    0.80
    oths
    0.79
    Bank
    0.75
     Mamm
    0.74
    Thumbnail
    0.73
     Jackets
    0.71
     mamm
    0.67
     Shinra
    0.67
    Cola
    0.67
    Activations Density 0.027%

    No Known Activations