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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. 6425
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    Explanations

    references to monetary amounts or financial transactions

    oai_token-act-pair · gpt-3.5-turbo

    references to monetary amounts or financial figures

    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
     Redd
    -0.70
     Valent
    -0.65
     Purs
    -0.64
     Intent
    -0.64
     Athletic
    -0.64
     ALP
    -0.64
     Ern
    -0.64
     clust
    -0.61
     interrupt
    -0.60
     Akin
    -0.60
    POSITIVE LOGITS
    $$
    1.15
    100
    1.09
    150
    1.09
    500
    1.08
    350
    1.08
    250
    1.07
    300
    1.06
    916
    1.03
    400
    1.02
    700
    1.02
    Activations Density 0.039%

    No Known Activations