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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. 7-RES-JB
    11. 10073
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    Explanations

    elements related to building structures, such as conditions of buildings, doors, windows, and floors

    oai_token-act-pair · gpt-3.5-turbo

    references to security features or safety mechanisms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    utan
    -0.87
    zees
    -0.84
    inant
    -0.82
    icter
    -0.79
    ibia
    -0.79
    ivia
    -0.77
    REDACTED
    -0.74
    dinand
    -0.73
    imei
    -0.72
    onen
    -0.72
    POSITIVE LOGITS
     doors
    1.28
     renovation
    1.22
     storefront
    1.18
     buildings
    1.15
     roof
    1.14
     apartment
    1.14
     renovations
    1.12
     downstairs
    1.09
     furniture
    1.08
     windows
    1.07
    Activations Density 0.952%

    No Known Activations