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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. 9-RES-JB
    11. 17813
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    Explanations

    phrases related to business acquisitions and deals

    oai_token-act-pair · gpt-3.5-turbo

    repeated occurrences of the word "and."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    actionDate
    -0.75
    odo
    -0.72
    ieg
    -0.71
    Contents
    -0.71
    >[
    -0.71
    icators
    -0.71
    ribes
    -0.70
    abus
    -0.70
    letes
    -0.70
    ffect
    -0.69
    POSITIVE LOGITS
     proceeded
    0.99
     thence
    0.98
     subsequently
    0.96
     promptly
    0.95
     underwent
    0.91
     wondered
    0.90
     consequently
    0.87
     then
    0.86
     plunged
    0.86
     thereby
    0.85
    Activations Density 0.277%

    No Known Activations