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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. 11-RES-JB
    11. 1652
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    Explanations

    physical medical conditions

    oai_token-act-pair · gpt-3.5-turbo

    the concept of death and its various interpretations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     skelet
    -0.72
     UNCLASSIFIED
    -0.72
    âķIJ
    -0.61
     Azerb
    -0.61
    etheless
    -0.60
     exting
    -0.57
    âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ
    -0.55
    apego
    -0.55
    aterasu
    -0.50
     pse
    -0.50
    POSITIVE LOGITS
     [âĢ¦]
    0.69
     âĢİ
    0.62
     ....
    0.55
    ↵Âł
    0.55
     ...
    0.54
    Âł
    0.54
    Contents
    0.52
    âĢİ
    0.51
     âĢº
    0.50
    ,...
    0.49
    Activations Density 4.001%

    No Known Activations