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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 3127
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    INDEX
    Explanations

    phrases related to racks or stacking items

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "rack" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Austral
    -0.74
     wills
    -0.63
     Samoa
    -0.61
    éĸ
    -0.60
     Pione
    -0.60
     Lover
    -0.60
    iating
    -0.59
     Kashmir
    -0.59
     Broadway
    -0.58
     NSW
    -0.58
    POSITIVE LOGITS
    cloth
    1.06
    washer
    1.03
    acks
    0.98
     racks
    0.97
    yard
    0.97
    ings
    0.94
    TOP
    0.93
    mount
    0.91
    artisan
    0.90
     rack
    0.90
    Activations Density 0.014%

    No Known Activations