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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. 10-RES-JB
    11. 22203
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    Explanations

    phrases related to surpassing or exceeding something, especially in terms of quantity or performance

    oai_token-act-pair · gpt-3.5-turbo

    phrases associated with surpassing or exceeding something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ittal
    -0.77
    onding
    -0.75
     horizont
    -0.67
    ATIVE
    -0.64
    illary
    -0.61
     Sunshine
    -0.61
    imental
    -0.60
     Torrent
    -0.60
     characteristic
    -0.59
     absence
    -0.58
    POSITIVE LOGITS
    sell
    1.19
    wrote
    1.16
    handedly
    1.14
    fill
    1.12
    write
    1.11
    activate
    1.08
    heartedly
    1.07
    react
    1.05
    raise
    1.00
    evaluate
    0.98
    Activations Density 0.179%

    No Known Activations