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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. 8-RES-JB
    6. 16046
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    Explanations

    proper nouns related to educational institutions

    oai_token-act-pair · gpt-3.5-turbo

    names of educational institutions and potentially locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •Suppression Features Layer 8 GPT2 Small

    No Comments

    Negative Logits
    ÷
    -1.03
    ü
    -1.03
    Ą
    -1.03
     TheNitrome
    -1.03
    ć
    -1.03
     RandomRedditor
    -1.03
    Ğ
    -1.02
    ė
    -1.02
    ā
    -1.02
    Ĉ
    -1.02
    POSITIVE LOGITS
     Variant
    0.60
     collide
    0.57
     respectively
    0.56
     rejoice
    0.51
     salads
    0.49
     Depth
    0.48
     sickness
    0.47
     guiActiveUnfocused
    0.47
     storylines
    0.47
     grids
    0.46
    Activations Density 1.705%

    No Known Activations