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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
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    Explanations

    the word "Lamb" with varying levels of intensity

    oai_token-act-pair · gpt-3.5-turbo

    the name "Lamb" and its variations

    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
    PLIED
    -0.84
    BOOK
    -0.77
    Downloadha
    -0.72
    ×Ļ×
    -0.71
     Subtle
    -0.70
    ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
    -0.69
    ãģ¦
    -0.68
     ignorance
    -0.67
     drift
    -0.67
    Ther
    -0.64
    POSITIVE LOGITS
    alle
    0.93
    loo
    0.92
    da
    0.90
    alo
    0.90
     Lamb
    0.90
    din
    0.88
    borgh
    0.88
    asso
    0.87
    inate
    0.85
    arse
    0.83
    Activations Density 0.005%

    No Known Activations