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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. 9-RES-JB
    11. 15997
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names and titles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    zsche
    -0.71
    ĸļ
    -0.68
    minecraft
    -0.63
    assetsadobe
    -0.62
     sear
    -0.60
    govtrack
    -0.60
     breakthrough
    -0.60
     sap
    -0.60
    kefeller
    -0.59
     Dhabi
    -0.58
    POSITIVE LOGITS
    acter
    0.81
    auga
    0.80
    Cola
    0.72
    abbage
    0.71
    ãĤ¶
    0.68
    atro
    0.68
    onential
    0.65
    oglu
    0.65
    inctions
    0.63
     Clay
    0.61
    Activations Density 0.294%

    No Known Activations