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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. 4-RES-JB
    11. 19356
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    Explanations

    technical specifications related to dual features

    oai_token-act-pair · gpt-3.5-turbo

    references to dual configurations or features in technologies

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

    No Comments

    Negative Logits
    FORE
    -0.79
    otle
    -0.78
    uden
    -0.68
    ICAN
    -0.68
    acco
    -0.67
     Lans
    -0.67
     Yards
    -0.66
    Ö¼
    -0.65
     Podcast
    -0.65
    ONEY
    -0.63
    POSITIVE LOGITS
    fold
    0.95
    edged
    0.86
    ities
    0.84
     dual
    0.83
    ples
    0.83
     simultaneous
    0.82
    ity
    0.78
     oppos
    0.77
     sided
    0.76
     frontal
    0.76
    Activations Density 0.011%

    No Known Activations