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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. 7-RES-JB
    11. 22702
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    Explanations

    phrases related to specific locations or establishments, such as restaurants or buildings

    oai_token-act-pair · gpt-3.5-turbo

    references to health-related topics and scientific advancements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DERR
    -0.73
    ¶ħ
    -0.66
     adjourn
    -0.65
     horizont
    -0.62
     headlights
    -0.62
    awaru
    -0.62
     Izan
    -0.60
    vati
    -0.59
     tho
    -0.59
    ADRA
    -0.59
    POSITIVE LOGITS
    osphere
    0.74
    ÂŃ
    0.67
     ecosystem
    0.67
    .''.
    0.64
    stakes
    0.62
     economy
    0.61
     industries
    0.60
    usercontent
    0.59
     sector
    0.58
    ospace
    0.58
    Activations Density 1.165%

    No Known Activations