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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 5815
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    Explanations

    references to wearing or not wearing specific items of clothing

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "wear" and its variations

    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
    aminer
    -0.75
    =-=-=-=-
    -0.74
     Debor
    -0.71
    demon
    -0.71
    estine
    -0.70
    raction
    -0.69
    akespeare
    -0.68
    heid
    -0.67
    yrinth
    -0.65
    ommod
    -0.65
    POSITIVE LOGITS
     apparel
    1.13
     clothing
    1.02
     jeans
    1.01
     worn
    1.00
     gloves
    0.97
     underwear
    0.96
     diapers
    0.96
     clothes
    0.95
     shoes
    0.93
     shirts
    0.91
    Activations Density 0.041%

    No Known Activations