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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. 7-RES-JB
    11. 17768
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to the act of launching or introducing new services or products

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    GO
    -0.74
    iane
    -0.69
     Marketable
    -0.67
    Son
    -0.66
    ioxide
    -0.64
    cussion
    -0.62
    uth
    -0.61
     entirety
    -0.59
    Jose
    -0.59
    avering
    -0.58
    POSITIVE LOGITS
    pad
    0.90
    launch
    0.89
    eers
    0.88
    lishing
    0.84
    laun
    0.81
     anew
    0.80
    nings
    0.77
    eer
    0.76
    eering
    0.74
    wcs
    0.71
    Activations Density 0.035%

    No Known Activations