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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. 14727
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    Explanations

    names of different people, possibly related to sports or events

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals or entities, particularly names related to a specific domain

    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
    Not in Any Lists

    No Comments

    Negative Logits
    Downloadha
    -0.82
    è¦ļéĨĴ
    -0.81
    etheless
    -0.75
    é¾įå¥ij士
    -0.71
    IZE
    -0.69
    pmwiki
    -0.68
    isance
    -0.67
     Scotia
    -0.66
    ãĤ´ãĥ³
    -0.66
    oice
    -0.65
    POSITIVE LOGITS
    glers
    0.97
    inals
    0.91
    imon
    0.91
     Hig
    0.90
    rets
    0.88
    uid
    0.87
    Hig
    0.87
    rament
    0.85
    iple
    0.84
    itle
    0.83
    Activations Density 0.011%

    No Known Activations