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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 6618
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    Explanations

    words involving technical details, possibly from different domains like academia, medicine, or engineering

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the character 'âĢ'

    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
    anwhile
    -0.77
     Babel
    -0.75
     scattering
    -0.66
     princ
    -0.65
     Afric
    -0.65
     oun
    -0.64
     skelet
    -0.64
     territ
    -0.63
     Marshal
    -0.61
     Beir
    -0.61
    POSITIVE LOGITS
    ª
    1.17
    ¬
    1.14
    ¹
    1.11
    £
    1.07
    Ń
    1.06
    į
    1.06
    Į
    1.03
    º
    1.02
    ¡
    1.02
    §
    1.02
    Activations Density 0.133%

    No Known Activations