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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. 7-RES-JB
    6. 4030
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    Explanations

    variations of the acronym "GA" with different numbers associated with them

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "GA" or variations of it, which likely relates to a specific entity or acronym

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enance
    -0.80
    neys
    -0.76
    ention
    -0.75
    lessly
    -0.71
    taining
    -0.70
    ysis
    -0.70
    andem
    -0.68
    paren
    -0.67
    ty
    -0.65
    ding
    -0.65
    POSITIVE LOGITS
    vernment
    1.20
    UGE
    1.00
    ussian
    0.86
    Ga
    0.82
    rencies
    0.81
    arde
    0.81
    ZA
    0.78
    veyard
    0.77
    keye
    0.76
    verage
    0.76
    Activations Density 0.038%

    No Known Activations