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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. 9-RES-JB
    11. 23693
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    Explanations

    words related to optimization and idealization

    oai_token-act-pair · gpt-3.5-turbo

    terms related to optimization and efficiency in various contexts

    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
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    Negative Logits
    âĸ¬âĸ¬
    -0.72
    maid
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    NetMessage
    -0.70
    holder
    -0.68
    hold
    -0.64
    ATTLE
    -0.64
    Lago
    -0.62
    soever
    -0.62
     freshman
    -0.62
     dues
    -0.61
    POSITIVE LOGITS
    isations
    0.97
    imum
    0.94
    ality
    0.91
    isation
    0.91
    ally
    0.89
    imus
    0.88
    istically
    0.87
    icol
    0.83
    bably
    0.83
     optim
    0.82
    Activations Density 0.070%

    No Known Activations