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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. 4-RES-JB
    11. 1262
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    Explanations

    phrases related to upcoming events or announcements

    oai_token-act-pair · gpt-3.5-turbo

    the repeated mention of the word "coming."

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

    No Comments

    Negative Logits
    uzzle
    -0.83
    orthodox
    -0.82
    oller
    -0.79
    bia
    -0.78
    velength
    -0.78
    olor
    -0.77
    icon
    -0.76
    nm
    -0.76
    tops
    -0.76
    ²¾
    -0.75
    POSITIVE LOGITS
     undone
    1.19
     attractions
    0.83
     ashore
    0.82
     out
    0.80
     forth
    0.78
     up
    0.77
     together
    0.77
     forward
    0.77
     WRITE
    0.76
     INTO
    0.75
    Activations Density 0.024%

    No Known Activations