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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. 2-RES-JB
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    Explanations

    the word "versatile" with high activation values

    oai_token-act-pair · gpt-3.5-turbo

    terms related to versatility and adaptability

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Parties
    -0.70
    oration
    -0.70
    ©¶æ
    -0.70
     Pall
    -0.66
    ween
    -0.65
    Gold
    -0.64
    Sat
    -0.63
     Atlantis
    -0.62
    aternity
    -0.62
     Regulatory
    -0.61
    POSITIVE LOGITS
    atile
    1.00
     versatility
    0.96
    theless
    0.90
    atility
    0.87
     versatile
    0.86
     slic
    0.79
    sheet
    0.76
    yip
    0.76
     minded
    0.75
    pedia
    0.74
    Activations Density 0.013%

    No Known Activations