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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. 11795
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    Explanations

    phrases related to generating income or creating something

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "generate" and its variations, often in the context of production or creation

    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
    yer
    -0.84
    nee
    -0.80
    mare
    -0.75
    phis
    -0.68
    phia
    -0.64
    hai
    -0.64
    phan
    -0.63
    rock
    -0.63
    sie
    -0.61
    say
    -0.61
    POSITIVE LOGITS
     generate
    0.98
     generates
    0.96
     generating
    0.95
     generated
    0.87
     kWh
    0.82
     generators
    0.81
    ãĥ¼ãĥĨãĤ£
    0.80
    rencies
    0.78
    ãĤº
    0.77
    generated
    0.76
    Activations Density 0.018%

    No Known Activations