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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. 1-RES-JB
    11. 1030
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    Explanations

    phrases related to specific age or ability groups, particularly those involving "under" followed by a number

    oai_token-act-pair · gpt-3.5-turbo

    references to "Under" categories in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥ£
    -0.80
    bernatorial
    -0.78
    ãĤ¨ãĥ«
    -0.78
    illation
    -0.74
    INESS
    -0.69
     Prague
    -0.68
    atial
    -0.66
    ä¹ĭ
    -0.65
    ãĥīãĥ©ãĤ´ãĥ³
    -0.65
    ARC
    -0.65
    POSITIVE LOGITS
    neath
    1.16
    pins
    0.91
    graduate
    0.91
     Under
    0.89
    pants
    0.88
    cuts
    0.88
    lings
    0.85
    stood
    0.85
    lying
    0.83
    lining
    0.83
    Activations Density 0.009%

    No Known Activations