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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. 10-RES-JB
    11. 21542
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    Explanations

    terms indicating the beginning or starting point of events or stories

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the initiation of events or actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Parables
    -0.67
    wd
    -0.62
     congratulated
    -0.61
    ighth
    -0.58
    aths
    -0.58
    phe
    -0.57
    otropic
    -0.56
    LP
    -0.56
    etry
    -0.55
     inspected
    -0.55
    POSITIVE LOGITS
     innoc
    1.10
     anew
    1.00
     abruptly
    0.94
     shortly
    0.89
     airing
    0.88
     raining
    0.87
     happening
    0.85
     spontaneously
    0.82
     prematurely
    0.81
     earlier
    0.81
    Activations Density 0.049%

    No Known Activations