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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. 246
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    Explanations

    expressions of comparison or contrast

    oai_token-act-pair · gpt-3.5-turbo

    phrases containing the words "have" and "want."

    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
    ortment
    -0.83
    atari
    -0.79
    catentry
    -0.77
    assic
    -0.75
    icol
    -0.72
    estinal
    -0.72
    icent
    -0.70
    ogi
    -0.70
    oÄŁ
    -0.70
    unknown
    -0.68
    POSITIVE LOGITS
     anymore
    1.53
     anything
    1.14
     any
    1.12
     nor
    1.12
     necessarily
    1.08
     anybody
    1.00
     anywhere
    0.99
     bother
    0.89
     adequately
    0.88
     whatsoever
    0.87
    Activations Density 0.316%

    No Known Activations