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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. 7-RES-JB
    11. 1886
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    Explanations

    references to bubbles

    oai_token-act-pair · gpt-3.5-turbo

    references to bubbles, particularly in a metaphorical or economic context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    IVES
    -0.82
    ives
    -0.80
    aves
    -0.76
    Ģ
    -0.76
    nesota
    -0.74
    OTO
    -0.72
    ACTED
    -0.72
    avement
    -0.72
    IGHTS
    -0.71
    IFE
    -0.69
    POSITIVE LOGITS
    bub
    1.12
     bubbles
    1.01
     bubble
    1.00
     gum
    0.91
     inflated
    0.90
     bursting
    0.87
     burst
    0.86
     popped
    0.84
    lio
    0.83
    ulent
    0.83
    Activations Density 0.027%

    No Known Activations