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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 4117
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    Explanations

    keywords related to youth programs and initiatives

    oai_token-act-pair · gpt-3.5-turbo

    references to youth and related topics

    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
    pard
    -0.82
    essen
    -0.73
    ++++++++++++++++
    -0.73
    acle
    -0.71
    ichick
    -0.69
    igslist
    -0.69
    aeda
    -0.69
    rosis
    -0.67
    asel
    -0.66
    ebus
    -0.66
    POSITIVE LOGITS
    fulness
    1.06
     academy
    0.85
     delinqu
    0.81
    uates
    0.78
     unemployment
    0.77
     ages
    0.77
    ful
    0.75
    ULT
    0.75
     outreach
    0.73
    fully
    0.71
    Activations Density 0.042%

    No Known Activations