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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. 2-RES-JB
    11. 11755
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    INDEX
    Explanations

    adverbs intensifying the following adjective

    oai_token-act-pair · gpt-3.5-turbo

    the word "very" or phrases that emphasize degree or intensity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    adelphia
    -0.84
    sburgh
    -0.80
    olor
    -0.79
    aneers
    -0.76
    onis
    -0.70
    imus
    -0.69
    osal
    -0.69
    iture
    -0.68
    oresc
    -0.68
    ovie
    -0.68
    POSITIVE LOGITS
     rare
    0.89
     informative
    0.87
     important
    0.80
     interesting
    0.80
     different
    0.78
     unusual
    0.77
     unlikely
    0.76
     careful
    0.75
     exciting
    0.74
     difficult
    0.74
    Activations Density 0.065%

    No Known Activations