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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. 19400
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    Explanations

    phrases containing the word "your" followed by a noun or action word

    oai_token-act-pair · gpt-3.5-turbo

    the word "your" and references to personalization or ownership

    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
     Ambro
    -0.77
    trak
    -0.75
    Lago
    -0.74
     Uriel
    -0.71
     Originally
    -0.70
     Goes
    -0.69
    Pac
    -0.68
    ilts
    -0.67
    apo
    -0.67
     Appears
    -0.65
    POSITIVE LOGITS
     own
    1.49
     favourite
    0.97
     adversary
    0.97
     opponent
    0.96
     favorite
    0.96
    self
    0.89
    selves
    0.89
     imagination
    0.88
     desired
    0.87
     respective
    0.84
    Activations Density 0.096%

    No Known Activations