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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. 2301
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    INDEX
    Explanations

    references to the year 2006

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the year 2006 in various contexts

    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
    ymes
    -0.75
    otions
    -0.69
    amins
    -0.66
    plom
    -0.65
     lawy
    -0.63
    ances
    -0.62
     Vader
    -0.61
     ancest
    -0.60
    friends
    -0.60
     starship
    -0.60
    POSITIVE LOGITS
    å¹
    0.95
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    0.72
     vintage
    0.71
    velength
    0.66
     onwards
    0.65
     Fuk
    0.64
    thritis
    0.64
    cture
    0.63
     Springs
    0.63
    20439
    0.62
    Activations Density 0.021%

    No Known Activations