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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. 3506
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    Explanations

    prices or costs mentioned in the text

    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 @ 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
     Tall
    -0.70
     htt
    -0.68
     Tid
    -0.62
     pave
    -0.61
     Investigations
    -0.61
     occupations
    -0.60
     quot
    -0.60
     Brid
    -0.60
     overfl
    -0.59
     dialect
    -0.59
    POSITIVE LOGITS
    $$$$
    1.38
    $$
    1.19
    1200
    0.99
    10
    0.99
    299
    0.98
    199
    0.98
    399
    0.97
    USD
    0.97
    £
    0.97
    1500
    0.97
    Activations Density 0.071%

    No Known Activations