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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. 2-RES-JB
    11. 21685
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    Explanations

    words related to hardships or difficult situations

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the concept of intensity or difficulty, particularly in a challenging context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Doctrine
    -0.69
    ablishment
    -0.68
    Smart
    -0.66
     Understanding
    -0.66
     Mirror
    -0.66
    uyomi
    -0.65
    Mir
    -0.63
    ropolitan
    -0.62
     Owners
    -0.62
    IBLE
    -0.61
    POSITIVE LOGITS
     gru
    1.14
     corrid
    0.94
    eling
    0.87
    ¸
    0.84
    ache
    0.83
     laure
    0.81
    estones
    0.81
    ¯¯¯¯
    0.79
    ppo
    0.78
    grim
    0.77
    Activations Density 0.008%

    No Known Activations