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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. 5072
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    INDEX
    Explanations

    mentions of or references to luggage items

    oai_token-act-pair · gpt-3.5-turbo

    terms related to luggage and its handling

    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
    mond
    -0.79
    mega
    -0.79
    ney
    -0.74
    vol
    -0.72
    sole
    -0.72
    earth
    -0.71
    ivot
    -0.67
    ital
    -0.66
    lem
    -0.66
    irgin
    -0.65
    POSITIVE LOGITS
    shed
    0.81
    abilia
    0.79
     signage
    0.76
    nsic
    0.72
    iage
    0.71
     clutter
    0.70
    tesy
    0.70
    conservancy
    0.69
    anship
    0.68
     equipment
    0.68
    Activations Density 0.035%

    No Known Activations