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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
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    Explanations

    mentions of 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
    sen
    -0.81
    poll
    -0.77
    sha
    -0.73
    nia
    -0.72
    odore
    -0.66
    ño
    -0.66
     Editorial
    -0.65
    nee
    -0.65
    erenn
    -0.64
    tle
    -0.64
    POSITIVE LOGITS
     building
    1.02
    building
    1.01
     buildings
    0.91
    raper
    0.86
     constructed
    0.86
     Bridges
    0.85
     skysc
    0.85
     renovations
    0.83
     Buildings
    0.81
     renovation
    0.78
    Activations Density 0.018%

    No Known Activations