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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. 9-RES-JB
    11. 11224
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    Explanations

    words related to renting properties

    oai_token-act-pair · gpt-3.5-turbo

    references to rent and rental housing situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    otine
    -0.72
    ulkan
    -0.72
    ctions
    -0.72
     Chemistry
    -0.71
     Flavoring
    -0.69
    umenthal
    -0.69
    tes
    -0.67
    aque
    -0.67
    uez
    -0.66
     Nieto
    -0.66
    POSITIVE LOGITS
     renters
    0.93
     apartments
    0.91
     renting
    0.86
     tenants
    0.82
     housing
    0.80
     rented
    0.80
     Estate
    0.78
     landlords
    0.78
     cheaply
    0.78
     flats
    0.77
    Activations Density 0.060%

    No Known Activations