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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. 17956
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    Explanations

    mentions of the word "Sa" followed by a single character and a number

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals named "Sa" followed by additional context or titles

    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
    lessly
    -0.77
    papers
    -0.76
    mercial
    -0.75
    tics
    -0.73
    breaks
    -0.68
     Turing
    -0.67
    theless
    -0.66
    ancial
    -0.65
    ãĥ¼ãĥĨãĤ£
    -0.64
    å§«
    -0.63
    POSITIVE LOGITS
    pling
    1.03
    adish
    1.03
    iva
    1.01
    uten
    0.99
    Ga
    0.99
    uth
    0.98
    igon
    0.97
    plings
    0.96
    eed
    0.95
    vers
    0.94
    Activations Density 0.011%

    No Known Activations