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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. 7-RES-JB
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    references to luxury items or experiences

    oai_token-act-pair · gpt-3.5-turbo

    references to luxury items or experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    older
    -0.89
    unin
    -0.88
    nect
    -0.83
    ynthesis
    -0.79
    snap
    -0.77
    etts
    -0.77
    soType
    -0.75
    lis
    -0.75
    sis
    -0.74
    corn
    -0.72
    POSITIVE LOGITS
     suites
    0.92
     luxury
    0.92
     goods
    0.91
     boutique
    0.91
     sedan
    0.86
    itton
    0.86
     hotels
    0.85
     accommodations
    0.84
     apartments
    0.84
     condos
    0.81
    Activations Density 0.036%

    No Known Activations