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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. 8842
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    Explanations

    phrases related to illegal or criminal activities

    oai_token-act-pair · gpt-3.5-turbo

    the word "wanted" and its variations

    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
    STON
    -0.80
    parable
    -0.73
    batch
    -0.72
    ãĤ¨ãĥ«
    -0.72
    GV
    -0.71
    Rus
    -0.70
    ãĤ¼ãĤ¦ãĤ¹
    -0.69
    utive
    -0.67
    adr
    -0.66
    Protect
    -0.66
    POSITIVE LOGITS
    zsche
    0.89
    wana
    0.76
    terday
    0.69
    asma
    0.68
    ornings
    0.68
    iary
    0.67
    oday
    0.67
     explan
    0.65
     perpend
    0.64
    hod
    0.64
    Activations Density 0.012%

    No Known Activations