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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
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    Explanations

    names of educational institutions, specifically colleges

    oai_token-act-pair · gpt-3.5-turbo

    references to educational institutions, specifically colleges

    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
    CRIP
    -0.78
    NVIDIA
    -0.71
    rawdownloadcloneembedreportprint
    -0.69
    ichick
    -0.68
    chenko
    -0.61
    mite
    -0.61
     BLM
    -0.61
    aph
    -0.60
    vati
    -0.60
    atron
    -0.59
    POSITIVE LOGITS
     Dublin
    0.82
    Hum
    0.79
    stown
    0.77
    house
    0.76
    notes
    0.75
     campuses
    0.74
    ritch
    0.73
     Station
    0.70
     Chapel
    0.70
     Athletic
    0.69
    Activations Density 0.026%

    No Known Activations