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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. 9-RES-JB
    6. 22081
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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 @ 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
    irk
    -0.67
    hra
    -0.64
    rift
    -0.63
    itsch
    -0.62
    epend
    -0.61
    UV
    -0.61
    ello
    -0.59
    çĦ
    -0.58
    ulet
    -0.58
    azard
    -0.57
    POSITIVE LOGITS
     someday
    1.14
     tomorrow
    1.03
     freaking
    0.93
     anytime
    0.91
     goddamn
    0.89
     ANY
    0.87
    illions
    0.87
     idiots
    0.85
     forever
    0.83
     EVERY
    0.82
    Activations Density 1.155%

    No Known Activations