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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
    11. 1425
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    Explanations

    names or references related to politics or sports

    oai_token-act-pair · gpt-3.5-turbo

    specific letters and letter combinations in the text

    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
    é¾įå¥ij士
    -0.80
    hedral
    -0.65
    ournals
    -0.62
    ujah
    -0.60
    ortium
    -0.60
    hiro
    -0.58
    olate
    -0.57
    afety
    -0.55
    ccording
    -0.55
    olean
    -0.55
    POSITIVE LOGITS
    iate
    0.77
    ption
    0.77
    aska
    0.72
    than
    0.71
    orce
    0.67
    enment
    0.67
    ħĭ
    0.67
    ometer
    0.67
    Charges
    0.66
    icro
    0.66
    Activations Density 0.350%

    No Known Activations