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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. 10-RES-JB
    11. 1265
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    Explanations

    consecutive characters but with varying activations

    oai_token-act-pair · gpt-3.5-turbo

    instances of the character "ľ" in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     pigeon
    -0.78
     mount
    -0.73
     hilar
    -0.69
     mounts
    -0.68
     flourishing
    -0.65
     womb
    -0.65
     mounting
    -0.64
     tides
    -0.63
     supposedly
    -0.63
     apes
    -0.62
    POSITIVE LOGITS
    ï¸ı
    1.17
    à¼
    1.08
    âĶĢâĶĢ
    0.98
    âĶĢâĶĢâĶĢâĶĢ
    0.98
    Ñĥ
    0.96
    âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ
    0.94
    ËĪ
    0.93
    \/\/
    0.91
    âĸł
    0.90
    âĢİ
    0.89
    Activations Density 0.136%

    No Known Activations