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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. 3273
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    INDEX
    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals named Kenneth and items referred to as baskets

    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
    phrine
    -0.91
     entrants
    -0.66
     sleeper
    -0.64
     muscle
    -0.62
    ignt
    -0.60
     appetite
    -0.60
     Mub
    -0.60
    zynski
    -0.59
    umo
    -0.59
     mamm
    -0.58
    POSITIVE LOGITS
    eers
    1.22
    eer
    1.10
    eering
    0.98
    lando
    0.87
    ģĸ
    0.79
    OTAL
    0.76
    bah
    0.75
    ivated
    0.75
    nel
    0.74
    rie
    0.74
    Activations Density 0.059%

    No Known Activations