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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. 9-RES-JB
    6. 4504
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    Explanations

    article titles or headlines containing specific phrases or names

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals or entities, particularly regarding their actions or statements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĵĺ
    -0.64
     pasture
    -0.64
     Stain
    -0.63
     gestation
    -0.62
     Fn
    -0.61
     Dele
    -0.60
    GBT
    -0.58
    Runner
    -0.58
    ADRA
    -0.57
     Sussex
    -0.57
    POSITIVE LOGITS
    etus
    0.79
    ilver
    0.73
    agi
    0.71
    cious
    0.71
    Äĩ
    0.69
    imgur
    0.68
    eper
    0.67
    boa
    0.66
    ewski
    0.66
    lication
    0.64
    Activations Density 0.360%

    No Known Activations