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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. 7314
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    oai_token-act-pair · gpt-3.5-turbo

    programming constructs and syntax elements

    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
    æĪ¦
    -0.93
    pmwiki
    -0.84
    jri
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    MSN
    -0.75
    voy
    -0.73
    )</
    -0.71
    agall
    -0.68
    idelines
    -0.68
    piracy
    -0.67
    Sov
    -0.66
    POSITIVE LOGITS
     ->
    1.17
     =>
    0.97
     ()
    0.87
     Nil
    0.84
     âĩ
    0.83
     ::
    0.79
     eval
    0.78
     nil
    0.78
     {}
    0.77
     (_
    0.77
    Activations Density 0.085%

    No Known Activations