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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. 4-RES-JB
    11. 1099
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    Explanations

    political discourse related to policy discussions and decision-making

    oai_token-act-pair · gpt-3.5-turbo

    references to structured information and organized discussions

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

    No Comments

    Negative Logits
    stice
    -0.69
     Alone
    -0.69
     Shed
    -0.66
    ĨĴ
    -0.65
    £ı
    -0.64
    ħĭ
    -0.61
     Herald
    -0.60
     Protector
    -0.60
    Ħ¢
    -0.59
    etheless
    -0.58
    POSITIVE LOGITS
     converge
    0.88
     ranging
    0.73
     relating
    0.72
     including
    0.72
     involving
    0.68
     awaits
    0.67
     imaginable
    0.67
     conver
    0.67
    pins
    0.65
     onlook
    0.65
    Activations Density 0.524%

    No Known Activations