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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. 14095
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    oai_token-act-pair · gpt-3.5-turbo

    sequences of dates or timestamps

    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
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    No Comments

    Negative Logits
     hiber
    -0.65
     Cent
    -0.62
     ageing
    -0.61
     abroad
    -0.61
     regeneration
    -0.60
     aging
    -0.60
     immun
    -0.59
     voluntarily
    -0.58
     armour
    -0.58
    cius
    -0.57
    POSITIVE LOGITS
    Rail
    0.88
    Fans
    0.81
    BRE
    0.80
    Rum
    0.79
    Looks
    0.79
    Yep
    0.75
    Trend
    0.73
    Same
    0.73
    PHOTOS
    0.72
    Copy
    0.71
    Activations Density 0.052%

    No Known Activations