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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. 20511
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    oai_token-act-pair · gpt-3.5-turbo

    monetary values or prices

    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
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    No Comments

    Negative Logits
     Tall
    -0.71
     quot
    -0.70
     occupations
    -0.67
     corpus
    -0.67
     staffing
    -0.66
     dialect
    -0.66
     Daniels
    -0.65
     Tid
    -0.65
     backlog
    -0.64
     overfl
    -0.62
    POSITIVE LOGITS
    $$$$
    1.25
    299
    1.22
    399
    1.19
    199
    1.18
    599
    1.15
    149
    1.14
    499
    1.14
    349
    1.11
    249
    1.09
    99
    1.09
    Activations Density 0.055%

    No Known Activations