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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. 13955
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    Explanations

    phrases related to topics being brought up or discussed

    oai_token-act-pair · gpt-3.5-turbo

    phrases that include the concept of something "coming up" or "popping up" in discussions or narratives

    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
    pi
    -0.66
    phia
    -0.61
    Lie
    -0.60
    ritical
    -0.60
    arine
    -0.60
     CLSID
    -0.60
    WA
    -0.59
    robe
    -0.59
    Storage
    -0.58
    ingham
    -0.58
    POSITIVE LOGITS
     spontaneously
    1.12
     prominently
    1.00
     unexpectedly
    0.97
     whenever
    0.83
     mysteriously
    0.82
     intermitt
    0.80
     sooner
    0.79
     spor
    0.79
     handy
    0.78
     again
    0.77
    Activations Density 0.125%

    No Known Activations