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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. 3-RES-JB
    11. 5339
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    Explanations

    phrases related to business acquisitions

    oai_token-act-pair · gpt-3.5-turbo

    words related to business acquisitions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    acea
    -0.75
    example
    -0.74
    atever
    -0.74
    hov
    -0.71
     IPCC
    -0.69
    heet
    -0.69
    osa
    -0.69
    eday
    -0.68
    cgi
    -0.68
    wayne
    -0.67
    POSITIVE LOGITS
    ments
    0.91
     acquisition
    0.85
     acquisitions
    0.84
    DAQ
    0.82
    ment
    0.80
    ader
    0.79
    Interstitial
    0.78
     acquired
    0.76
     ownership
    0.75
    isitions
    0.75
    Activations Density 0.017%

    No Known Activations