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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. 6-RES-JB
    11. 5109
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    Explanations

    currencies or monetary values

    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 @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Gors
    -0.89
     Nare
    -0.84
     Tall
    -0.76
     Bend
    -0.75
     Dare
    -0.72
     Wra
    -0.72
     Entered
    -0.68
     Ital
    -0.67
     Desk
    -0.66
     Freed
    -0.66
    POSITIVE LOGITS
    ultz
    0.88
    100
    0.85
    false
    0.84
    $$
    0.82
    200
    0.81
    130
    0.79
    HOME
    0.79
    iris
    0.78
    300
    0.78
    future
    0.78
    Activations Density 0.044%

    No Known Activations