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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. 6-RES-JB
    6. 23267
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    Explanations

    mentions of the abbreviation "WR" followed by a number rating

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the term 'WR' which appears to refer to wide receivers in a sports context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Debor
    -0.75
    omorphic
    -0.69
    anamo
    -0.69
     Bulgar
    -0.63
     Alban
    -0.62
     sovere
    -0.60
     Crosby
    -0.60
    zers
    -0.60
     besie
    -0.59
     victorious
    -0.59
    POSITIVE LOGITS
    ONG
    1.20
    ACK
    1.04
    MJ
    0.98
    EST
    0.94
    IGHT
    0.88
    IVES
    0.87
    OL
    0.85
    PF
    0.82
    ATH
    0.81
    NER
    0.81
    Activations Density 0.019%

    No Known Activations