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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. 16982
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    Explanations

    the word "ipp" with varying strengths of activation

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of a specific name or term related to a person or topic

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    BuyableInstoreAndOnline
    -0.69
     Breed
    -0.69
    IZE
    -0.68
     Bravo
    -0.67
    CVE
    -0.66
     Schwar
    -0.66
     Variety
    -0.65
     fry
    -0.64
    QUIRE
    -0.63
     flaw
    -0.62
    POSITIVE LOGITS
    ocamp
    1.33
    sburgh
    1.15
    ipp
    1.02
    ortun
    0.98
    oman
    0.98
    ilton
    0.96
    erton
    0.95
    ean
    0.94
    onen
    0.94
    ulative
    0.93
    Activations Density 0.013%

    No Known Activations