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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. 10-RES-JB
    11. 16016
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    Explanations

    information related to definitions and explanations, particularly focusing on representation, violence, and habitat

    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 @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    luaj
    -1.09
    soDeliveryDate
    -0.91
    çīĪ
    -0.76
    æµ
    -0.72
    ovember
    -0.71
    MSN
    -0.69
    audi
    -0.67
    TPP
    -0.67
    ©¶æ¥µ
    -0.66
    udeb
    -0.65
    POSITIVE LOGITS
     oneself
    0.96
     or
    0.87
     organisms
    0.87
     uncond
    0.85
     temporarily
    0.85
     predetermined
    0.85
     ordinarily
    0.84
     externally
    0.83
     contiguous
    0.82
     continuously
    0.82
    Activations Density 0.643%

    No Known Activations