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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. 20276
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    Explanations

    phrases related to specific locations or places

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals and their actions or states

    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
     Prometheus
    -0.75
     Speedway
    -0.70
    scription
    -0.69
    yss
    -0.69
     Unle
    -0.68
    raft
    -0.66
     Scully
    -0.65
     1924
    -0.65
    ongh
    -0.65
     Ferry
    -0.63
    POSITIVE LOGITS
     resided
    0.90
    'd
    0.90
    'll
    0.85
     could
    0.83
     reside
    0.81
     lived
    0.79
     can
    0.78
     toured
    0.78
     interacted
    0.77
     boarded
    0.77
    Activations Density 0.133%

    No Known Activations