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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. 4-RES-JB
    11. 19538
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    Explanations

    references to a specific place - "Tuscaloosa" in particular

    oai_token-act-pair · gpt-3.5-turbo

    references to the city of Tuscaloosa

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

    No Comments

    Negative Logits
     glim
    -0.72
    rified
    -0.67
    mble
    -0.65
    Joy
    -0.64
     Bedford
    -0.63
    Present
    -0.62
    manship
    -0.62
    ãĥķ
    -0.61
     Tut
    -0.61
    ãĤ°
    -0.60
    POSITIVE LOGITS
    opsy
    1.08
    axy
    1.01
    osa
    0.98
    asca
    0.94
    zzi
    0.93
    zona
    0.92
    ose
    0.91
    orthy
    0.90
    ppo
    0.88
    vernment
    0.87
    Activations Density 0.010%

    No Known Activations