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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. 21740
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    Explanations

    proper names of individuals or specific nouns in sentences

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals and organizations linked to actions or attributes

    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
    =-=-
    -0.69
     MFT
    -0.66
    geoning
    -0.65
    hement
    -0.65
    hovah
    -0.59
    orest
    -0.58
    luster
    -0.58
    tnc
    -0.57
    gins
    -0.57
    quartered
    -0.56
    POSITIVE LOGITS
     accomplished
    1.01
     meant
    1.00
     thinks
    0.96
     did
    0.94
     mean
    0.91
     entails
    0.90
     means
    0.88
     entail
    0.85
     fuss
    0.85
    mean
    0.84
    Activations Density 0.130%

    No Known Activations