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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. 1-RES-JB
    6. 24402
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    Explanations

    measurements expressed in miles

    oai_token-act-pair · gpt-3.5-turbo

    references to distances measured in miles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sson
    -0.93
    eers
    -0.89
    ovich
    -0.82
    ians
    -0.80
     Ducks
    -0.79
    rification
    -0.77
     Gaz
    -0.76
    rition
    -0.76
    ainment
    -0.75
    rious
    -0.73
    POSITIVE LOGITS
    \/\/
    0.79
     conclud
    0.79
    $$
    0.77
    OTH
    0.76
     mi
    0.75
     Dee
    0.75
    aternity
    0.75
     compr
    0.75
    ppel
    0.72
    OE
    0.71
    Activations Density 0.024%

    No Known Activations