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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. 16439
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    Explanations

    phrases related to mobile devices or criminal organizations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "mob" and its related contexts

    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
    ANCE
    -0.76
    éĸ
    -0.73
    ational
    -0.69
     Zeit
    -0.65
    ++++++++++++++++
    -0.65
     Norn
    -0.65
     Tire
    -0.64
     Wonderland
    -0.64
    ŃĶ
    -0.62
    ĨĴ
    -0.61
    POSITIVE LOGITS
    iles
    1.16
    sters
    1.07
    bing
    1.01
    olean
    0.98
    ster
    0.95
    ographed
    0.94
    iliar
    0.92
    isode
    0.89
    ilities
    0.88
    astic
    0.87
    Activations Density 0.029%

    No Known Activations