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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. 3-RES-JB
    11. 15932
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    Explanations

    numerical data followed by a 'ft' unit of measurement

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks indicating updates or changes in information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    imates
    -0.74
    acters
    -0.69
     TAMADRA
    -0.64
    uyomi
    -0.58
     dummy
    -0.58
    chio
    -0.58
    document
    -0.58
    ophe
    -0.55
    athering
    -0.55
    ocard
    -0.55
    POSITIVE LOGITS
    taboola
    0.95
    CLASSIFIED
    0.90
    alde
    0.89
    yss
    0.75
    lication
    0.74
    ynski
    0.74
    cliffe
    0.73
    terness
    0.73
    luaj
    0.70
    tains
    0.69
    Activations Density 0.031%

    No Known Activations