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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. 4-RES-JB
    11. 7393
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    phrases related to design and construction

    oai_token-act-pair · gpt-3.5-turbo

    keywords related to design and its various aspects

    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
    cffffcc
    -0.83
     Adin
    -0.76
     constitu
    -0.71
     Thur
    -0.69
     tears
    -0.67
    unin
    -0.66
     Eur
    -0.65
    ICAN
    -0.65
    perty
    -0.64
     Scotch
    -0.62
    POSITIVE LOGITS
    ated
    1.08
    ation
    0.96
    er
    0.94
    ators
    0.90
    ates
    0.89
     Design
    0.88
    ator
    0.87
    ²¾
    0.86
    ateur
    0.81
    Design
    0.81
    Activations Density 0.017%

    No Known Activations