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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. 10019
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    Explanations

    words related to imperatives with a condition

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "re"

    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
    inav
    -0.79
    pedia
    -0.72
     Exit
    -0.69
    egu
    -0.66
    ð
    -0.66
     SetTextColor
    -0.66
     rests
    -0.65
     Reef
    -0.64
    clerosis
    -0.64
     Trends
    -0.64
    POSITIVE LOGITS
     unsure
    1.13
     willing
    1.02
     bothered
    0.98
     gonna
    0.95
     lucky
    0.94
     interested
    0.94
     unlucky
    0.91
     inclined
    0.91
     dissatisfied
    0.90
     kidding
    0.90
    Activations Density 0.033%

    No Known Activations