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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 4-RES-JB
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    descriptions of taste and sensory experiences

    oai_token-act-pair · gpt-3.5-turbo

    descriptors of taste and sensory experiences

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

    Negative Logits
    BLIC
    -0.73
     Schools
    -0.72
    report
    -0.72
    insured
    -0.72
     Claims
    -0.70
     Supporters
    -0.70
     taxpayer
    -0.69
     Volunteer
    -0.68
    Reporting
    -0.68
    =-=-=-=-
    -0.68
    POSITIVE LOGITS
     textures
    1.05
     texture
    1.03
     elegance
    0.97
     palette
    0.96
     accent
    0.93
     colours
    0.90
     motif
    0.90
     resemb
    0.89
     aesthetic
    0.88
     shimmer
    0.88
    Activations Density 1.111%

    No Known Activations