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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. 8-RES-JB
    6. 446
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    INDEX
    Explanations

    mentions of the word "Az" followed by a number

    oai_token-act-pair · gpt-3.5-turbo

    references to the name "Az" along with its variations in context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aceous
    -0.75
     Fargo
    -0.74
    ACTED
    -0.74
    dfx
    -0.69
     Norn
    -0.69
    LESS
    -0.68
     Sporting
    -0.64
    mercial
    -0.63
     ease
    -0.63
     Copenhagen
    -0.62
    POSITIVE LOGITS
    azel
    1.18
    tec
    1.15
    eri
    1.06
    uma
    0.95
    rael
    0.92
    er
    0.90
    orius
    0.89
    anas
    0.88
    eta
    0.87
    irez
    0.87
    Activations Density 0.023%

    No Known Activations