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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. 3-RES-JB
    11. 16497
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    Explanations

    mentions of locations or areas where people gather, specifically places that may have a social component like lounges or bars

    oai_token-act-pair · gpt-3.5-turbo

    references to social gathering places and lounge settings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    displayText
    -0.74
    ÑĮ
    -0.71
    NESS
    -0.68
    icity
    -0.66
    ãĥ¤
    -0.66
    DEC
    -0.65
    actionDate
    -0.65
     Annotations
    -0.65
    inventoryQuantity
    -0.65
     Uz
    -0.64
    POSITIVE LOGITS
     lounge
    1.27
    ounge
    1.10
     Lounge
    1.00
     lou
    0.85
     chairs
    0.82
    room
    0.80
    creen
    0.80
    stairs
    0.77
    rooms
    0.77
    wagen
    0.76
    Activations Density 0.008%

    No Known Activations