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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. 22927
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    Explanations

    words related to strengthening or enhancing something

    oai_token-act-pair · gpt-3.5-turbo

    words related to strengthening or support

    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
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    No Comments

    Negative Logits
    andro
    -0.74
     Nig
    -0.71
     Ori
    -0.66
     Marathon
    -0.63
    ________________________________________________________________
    -0.61
    atom
    -0.61
     Nose
    -0.61
     Mortal
    -0.61
    odor
    -0.60
    opic
    -0.58
    POSITIVE LOGITS
    acebook
    0.86
    ackets
    0.82
     bolster
    0.81
    ments
    0.81
     bolst
    0.80
     guiActiveUn
    0.78
     bolstered
    0.74
     tremend
    0.73
    ocks
    0.70
     reinforcing
    0.70
    Activations Density 0.019%

    No Known Activations