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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. 9359
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    Explanations

    references to continuous processes or structures

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "continuous" processes or states

    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
    onom
    -0.93
    kid
    -0.83
    geons
    -0.79
    iasis
    -0.78
    ung
    -0.76
    uay
    -0.76
    Reply
    -0.75
    lda
    -0.75
    ster
    -0.75
    omez
    -0.74
    POSITIVE LOGITS
     continuous
    0.94
     intervals
    0.93
     uninterrupted
    0.89
     interval
    0.85
     periodic
    0.82
     integration
    0.81
     daylight
    0.80
    motion
    0.76
     Integration
    0.76
     monitoring
    0.76
    Activations Density 0.015%

    No Known Activations