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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. 2-RES-JB
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of places and significant entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uyomi
    -0.55
    ģĸ
    -0.54
    WAYS
    -0.52
    )=(
    -0.52
    ħĭ
    -0.51
    anwhile
    -0.49
    cffffcc
    -0.48
    ĸļ
    -0.47
    awaru
    -0.45
    skirts
    -0.45
    POSITIVE LOGITS
    ona
    0.55
    abus
    0.52
    fest
    0.52
    leigh
    0.52
     Street
    0.51
    oya
    0.50
    rand
    0.49
    ette
    0.49
    istas
    0.48
    ito
    0.48
    Activations Density 1.599%

    No Known Activations