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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 5806
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    INDEX
    Explanations

    instances where something could have been different or an alternative scenario could have occurred

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express hypothetical scenarios or missed opportunities

    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
    ftime
    -0.72
     Dj
    -0.69
     Deb
    -0.67
    orate
    -0.60
     tend
    -0.59
     stump
    -0.59
     recomb
    -0.57
     now
    -0.56
     pos
    -0.55
     presently
    -0.55
    POSITIVE LOGITS
    Ire
    0.81
     sooner
    0.80
    ãĤ¤ãĥĪ
    0.71
    IER
    0.68
    ypes
    0.67
    LOCK
    0.67
    Title
    0.67
    sung
    0.65
    1800
    0.64
    0200
    0.63
    Activations Density 0.131%

    No Known Activations