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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. 1-RES-JB
    11. 22370
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    Explanations

    references to physical buildings

    oai_token-act-pair · gpt-3.5-turbo

    references to buildings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nia
    -0.76
    nir
    -0.73
    sha
    -0.68
    GET
    -0.68
    sen
    -0.68
    poll
    -0.68
    Veter
    -0.65
    ño
    -0.64
    Poll
    -0.64
    vous
    -0.64
    POSITIVE LOGITS
     buildings
    1.38
     Buildings
    1.15
     skysc
    1.07
    raper
    1.06
     towers
    1.00
     complexes
    0.97
     rooft
    0.93
    emetery
    0.93
    chool
    0.90
     dwellings
    0.90
    Activations Density 0.016%

    No Known Activations