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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. 11859
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    INDEX
    Explanations

    words related to attractiveness or desirability

    oai_token-act-pair · gpt-3.5-turbo

    terms related to desirability or appeal

    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
    cedented
    -0.96
    avia
    -0.83
    chu
    -0.81
    othing
    -0.80
     respecting
    -0.78
    othe
    -0.77
    rel
    -0.76
    blance
    -0.76
    bel
    -0.75
    algia
    -0.72
    POSITIVE LOGITS
     prospects
    1.11
     prospect
    1.04
     alternatives
    0.97
     proposition
    0.96
     targets
    0.96
     candidates
    0.84
     alternative
    0.81
     prey
    0.80
     options
    0.76
     destinations
    0.76
    Activations Density 0.126%

    No Known Activations