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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. 17005
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    Explanations

    superlatives indicating the highest degree or most intense level of something

    oai_token-act-pair · gpt-3.5-turbo

    superlative phrases indicating the highest degree or intensity of something

    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
     assumes
    -0.79
     appears
    -0.75
     accordingly
    -0.72
    hm
    -0.70
    bg
    -0.69
    ãĥīãĥ©
    -0.69
     publishes
    -0.67
     interacts
    -0.67
     writes
    -0.67
    kai
    -0.67
    POSITIVE LOGITS
     coolest
    1.27
     greatest
    1.25
     smartest
    1.25
     hardest
    1.24
     simplest
    1.23
     toughest
    1.22
     culmination
    1.19
     strongest
    1.19
     easiest
    1.19
     biggest
    1.18
    Activations Density 0.193%

    No Known Activations