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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. 6-RES-JB
    11. 3813
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    Explanations

    names of specific individuals

    oai_token-act-pair · gpt-3.5-turbo

    mentions of well-known individuals and significant events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cffffcc
    -0.68
     Cthulhu
    -0.67
    ntil
    -0.66
    ãĥ³ãĤ¸
    -0.64
    MpServer
    -0.63
     behalf
    -0.63
    quote
    -0.62
    cius
    -0.61
     understatement
    -0.61
    Topic
    -0.61
    POSITIVE LOGITS
     arrives
    0.96
     arrived
    0.94
     became
    0.92
     began
    0.91
     went
    0.87
     intervened
    0.85
     enters
    0.85
     becomes
    0.85
     took
    0.83
     died
    0.82
    Activations Density 0.706%

    No Known Activations