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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. 11195
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    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
    mble
    -0.84
     tremend
    -0.78
     pursu
    -0.78
    undai
    -0.78
    ivable
    -0.76
    ilater
    -0.73
     recip
    -0.72
    avorite
    -0.71
     peac
    -0.71
     agre
    -0.69
    POSITIVE LOGITS
     Provided
    0.90
     Logged
    0.90
     TBD
    0.89
    76561
    0.80
    ËĪ
    0.77
    Associated
    0.76
     Cosponsors
    0.75
     Who
    0.75
    ³³³³³³³³³³³³³³³³
    0.74
     Yeah
    0.74
    Activations Density 0.144%

    No Known Activations