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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. 16592
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    Explanations

    phrases related to online forms with a focus on confirming the user is not a robot

    oai_token-act-pair · gpt-3.5-turbo

    terms related to bots versus humans and community guidelines

    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
     Bak
    -0.67
     Benn
    -0.59
     Hin
    -0.58
     Pub
    -0.58
     tongues
    -0.56
     bun
    -0.55
     Hudson
    -0.55
     Lump
    -0.54
    [/
    -0.54
     legends
    -0.53
    POSITIVE LOGITS
    iframe
    0.76
    ļéĨĴ
    0.73
    ãĤ¢ãĥ«
    0.69
    ESE
    0.68
     Flavoring
    0.66
    oxin
    0.66
    çĶ°
    0.66
    à¼
    0.65
    wana
    0.64
    ENA
    0.64
    Activations Density 0.008%

    No Known Activations