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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. 3065
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    Explanations

    significant events or milestones

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating significant milestones or commemorative events

    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
     fined
    -0.67
    arak
    -0.66
     quer
    -0.63
    entials
    -0.63
    lycer
    -0.60
     searched
    -0.60
    æ©Ł
    -0.60
    oir
    -0.59
     polled
    -0.58
     laugh
    -0.58
    POSITIVE LOGITS
     milestones
    1.02
    nesday
    0.87
    eteenth
    0.82
    teenth
    0.81
     milestone
    0.78
     anniversary
    0.76
    downs
    0.74
    cules
    0.73
    Days
    0.72
     Twain
    0.72
    Activations Density 0.047%

    No Known Activations