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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. 116
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    INDEX
    Explanations

    proper nouns such as names of companies and individuals

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific organizations or groups

    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
     increments
    -0.70
     retri
    -0.67
    orgetown
    -0.67
     POLITICO
    -0.67
     mater
    -0.66
    cum
    -0.63
     Trayvon
    -0.59
     Lear
    -0.57
    Democrats
    -0.57
     lawmakers
    -0.57
    POSITIVE LOGITS
     themselves
    1.05
    senal
    0.94
     logo
    0.76
     organise
    0.75
     mascot
    0.73
     kindly
    0.72
    ç¥ŀ
    0.71
     wisely
    0.70
     HQ
    0.69
    camp
    0.67
    Activations Density 1.118%

    No Known Activations