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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 2366
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    Explanations

    locations or specific places, especially parks or wildlife areas

    oai_token-act-pair · gpt-3.5-turbo

    references to specific places or locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    luaj
    -0.96
     Brah
    -0.95
    ierre
    -0.94
     Typh
    -0.88
    اÙĦ
    -0.88
    ãĤ´ãĥ³
    -0.85
    hra
    -0.84
    Ñĥ
    -0.82
    aghan
    -0.81
    Lua
    -0.79
    POSITIVE LOGITS
     park
    2.33
    Park
    2.28
     Park
    2.21
     parks
    2.13
    park
    2.03
     Parks
    1.93
     PARK
    1.85
     Parker
    1.55
     Parking
    1.36
     parking
    1.29
    Activations Density 0.287%

    No Known Activations