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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. 13563
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    Explanations

    words related to plans or intentions

    oai_token-act-pair · gpt-3.5-turbo

    statements of intention or planning

    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
    eor
    -0.77
    quin
    -0.75
    iates
    -0.72
    illions
    -0.67
    mson
    -0.65
     Afterwards
    -0.62
    alys
    -0.61
    ../
    -0.59
     exhibits
    -0.59
     Pictures
    -0.57
    POSITIVE LOGITS
     simple
    0.85
     straightforward
    0.73
     obvious
    0.73
     always
    0.72
     unanimous
    0.71
     clear
    0.70
     unclear
    0.68
     simplicity
    0.68
     unequiv
    0.67
     priceless
    0.67
    Activations Density 0.155%

    No Known Activations