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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. 0-RES-JB
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    INDEX
    Explanations

    instances of the word "appoint" with a strong activation

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "appoint" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aer
    -0.65
     Mayhem
    -0.63
     BASE
    -0.62
     Cinema
    -0.62
    Memory
    -0.62
     simulated
    -0.61
    Pocket
    -0.61
     fun
    -0.60
    Warning
    -0.60
     Value
    -0.59
    POSITIVE LOGITS
     appoint
    3.74
     appointing
    2.51
     appointed
    1.92
     nominate
    1.82
     appointments
    1.68
     appointment
    1.65
     hires
    1.59
     nominating
    1.33
     hire
    1.32
     nominees
    1.28
    Activations Density 0.016%

    No Known Activations