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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. 6-RES-JB
    11. 716
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    Explanations

    facial features and related elements in a text

    oai_token-act-pair · gpt-3.5-turbo

    references to facial features and characteristics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Pharma
    -0.77
    uden
    -0.76
    æ©Ł
    -0.75
    aday
    -0.71
    rote
    -0.70
    geist
    -0.70
     Pharmaceutical
    -0.69
     Blackwell
    -0.69
    gard
    -0.69
    én
    -0.69
    POSITIVE LOGITS
     expressions
    1.06
     hair
    1.06
     recognition
    0.97
     muscles
    0.95
     expression
    0.93
     portraits
    0.92
     impressions
    0.87
     facial
    0.84
     hairs
    0.84
     Hair
    0.83
    Activations Density 0.022%

    No Known Activations