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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. 3-RES-JB
    11. 23651
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    Explanations

    references to mayors and city officials

    oai_token-act-pair · gpt-3.5-turbo

    references to various mayors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arial
    -0.87
    endish
    -0.83
    dates
    -0.83
    dragon
    -0.79
    anche
    -0.77
    ibaba
    -0.77
    opter
    -0.77
    phal
    -0.77
    ener
    -0.76
    bra
    -0.76
    POSITIVE LOGITS
     Mayor
    1.05
     mayor
    0.99
    alty
    0.97
     mayoral
    0.87
    Mayor
    0.86
     councillor
    0.85
     Marshal
    0.77
     mayors
    0.77
     borough
    0.72
     Giuliani
    0.72
    Activations Density 0.015%

    No Known Activations