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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. 7407
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    INDEX
    Explanations

    the word "usages" or variations of it

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the letter 'u'

    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
     CBI
    -0.63
     removable
    -0.63
     Presbyter
    -0.62
     Leviathan
    -0.62
     horizont
    -0.62
     comma
    -0.62
     resid
    -0.61
     sidewalks
    -0.61
     Compass
    -0.60
    lot
    -0.59
    POSITIVE LOGITS
    pport
    1.26
    endo
    1.03
    ccess
    1.02
    cci
    1.00
    oti
    0.94
    seless
    0.93
    asive
    0.92
    asion
    0.92
    isine
    0.91
    cca
    0.88
    Activations Density 0.020%

    No Known Activations