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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. 15880
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    Explanations

    mentions of internships

    oai_token-act-pair · gpt-3.5-turbo

    references to internships or interns

    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
    gging
    -0.77
    akespe
    -0.69
    ku
    -0.69
    ModLoader
    -0.67
    NRS
    -0.67
    lihood
    -0.66
    ffff
    -0.66
    cffff
    -0.65
     Caucasus
    -0.65
    âĵĺ
    -0.64
    POSITIVE LOGITS
    ships
    1.37
     intern
    1.11
     interns
    1.07
    rador
    0.95
    ials
    0.85
    ship
    0.83
    intern
    0.83
     Intern
    0.80
    elong
    0.77
    zona
    0.77
    Activations Density 0.009%

    No Known Activations