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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. 8-RES-JB
    11. 12676
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    INDEX
    Explanations

    references to concrete structures or materials

    oai_token-act-pair · gpt-3.5-turbo

    references to concrete and its uses

    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
    Not in Any Lists

    No Comments

    Negative Logits
    othal
    -0.93
    uten
    -0.91
    awar
    -0.90
    ģĸ
    -0.84
    «ĺ
    -0.82
    nir
    -0.80
    cffffcc
    -0.78
    terness
    -0.76
    cius
    -0.75
    owship
    -0.75
    POSITIVE LOGITS
    crete
    1.02
     slab
    0.97
     blocks
    0.93
    works
    0.87
     concrete
    0.86
     jungle
    0.77
     Blocks
    0.76
     Jungle
    0.76
     pillars
    0.72
    Blocks
    0.71
    Activations Density 0.047%

    No Known Activations