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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. 11-RES-JB
    11. 21951
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    Explanations

    mentions of different types of residential buildings, specifically apartments

    oai_token-act-pair · gpt-3.5-turbo

    references to specific types of apartments and apartment buildings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nir
    -1.01
    xon
    -0.84
    othal
    -0.77
    Downloadha
    -0.76
    ²¾
    -0.73
    ãĥ©ãĥ³
    -0.72
    maxwell
    -0.71
    otine
    -0.70
    ulin
    -0.69
    emphasis
    -0.67
    POSITIVE LOGITS
     complexes
    1.17
     balcony
    1.09
     complex
    1.09
     building
    1.07
     apartment
    1.06
     buildings
    1.01
     balcon
    0.99
     tower
    0.97
     Dwell
    0.95
     apartments
    0.95
    Activations Density 0.076%

    No Known Activations