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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. 11-RES-JB
    11. 6107
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    Explanations

    phrases related to opinions, wishes, and actions of individuals or groups

    oai_token-act-pair · gpt-3.5-turbo

    references to actions, wishes, opinions, and beliefs of individuals or groups

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    isin
    -0.58
    tainment
    -0.57
    plane
    -0.57
     Classification
    -0.56
    culus
    -0.55
    enough
    -0.55
    foundland
    -0.55
    aneously
    -0.54
    Enough
    -0.54
    mix
    -0.54
    POSITIVE LOGITS
     of
    1.23
     undertaken
    0.87
     OF
    0.85
     Of
    0.82
    of
    0.77
    OF
    0.76
     pursued
    0.74
    Of
    0.74
     expressed
    0.74
     emanating
    0.72
    Activations Density 0.232%

    No Known Activations