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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. 4-RES-JB
    11. 23994
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    INDEX
    Explanations

    experience or expertise in various fields or professions

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals with significant expertise or experience in various fields

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

    No Comments

    Negative Logits
    iture
    -0.74
    stuff
    -0.74
    uzzle
    -0.73
    aughter
    -0.71
    wich
    -0.71
    ichick
    -0.71
    corn
    -0.71
    uyomi
    -0.70
    itsch
    -0.70
    otion
    -0.69
    POSITIVE LOGITS
    ienced
    0.93
    HAEL
    0.80
    WER
    0.70
    rians
    0.69
     firsthand
    0.69
     veter
    0.68
    ħĭ
    0.67
    rament
    0.67
    LV
    0.66
     speakers
    0.66
    Activations Density 0.017%

    No Known Activations