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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. 4-RES-JB
    11. 10270
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    Explanations

    references to physical spaces, especially those related to commercial real estate

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of commercial and retail spaces

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    venge
    -0.79
    usted
    -0.72
    kai
    -0.70
    iamond
    -0.69
     VIDE
    -0.67
    endor
    -0.65
    inger
    -0.65
    tl
    -0.65
    ku
    -0.65
    ctive
    -0.64
    POSITIVE LOGITS
     spaces
    0.94
     space
    0.87
    bars
    0.80
     constraints
    0.79
     habitats
    0.79
     heater
    0.76
    conservancy
    0.76
     Layout
    0.76
     shuttle
    0.75
    kat
    0.75
    Activations Density 0.022%

    No Known Activations