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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. 13223
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    Explanations

    proper nouns, specifically names of people or places

    oai_token-act-pair · gpt-3.5-turbo

    the word "then" in various contexts throughout the document

    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
    chy
    -0.80
    orum
    -0.73
    chio
    -0.65
    ender
    -0.64
    sth
    -0.62
    icles
    -0.61
    ses
    -0.61
    inho
    -0.60
    ters
    -0.60
    urga
    -0.60
    POSITIVE LOGITS
    ©¶æ
    0.91
    etheless
    0.87
    ŃĶ
    0.83
    Ń·
    0.82
    Ļ½
    0.80
    ãĥĥãĥī
    0.80
    ñ
    0.79
    igslist
    0.78
     proceeded
    0.78
    ħĭ
    0.75
    Activations Density 0.052%

    No Known Activations