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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. 3-RES-JB
    11. 23259
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    Explanations

    locations in New Delhi

    oai_token-act-pair · gpt-3.5-turbo

    geographical locations, particularly cities and states

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vor
    -0.74
    ifts
    -0.74
    cru
    -0.72
    bre
    -0.67
    tower
    -0.66
     Luthor
    -0.65
    âĸĪâĸĪâĸĪâĸĪ
    -0.64
    ages
    -0.64
    lyak
    -0.63
     Guant
    -0.62
    POSITIVE LOGITS
     Pradesh
    1.11
    umbai
    1.09
    jriwal
    0.99
     Nadu
    0.94
     Sharma
    0.92
     Gandhi
    0.85
     Sabha
    0.81
     crore
    0.81
     Punjab
    0.80
     Annotations
    0.79
    Activations Density 0.092%

    No Known Activations