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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. 11-RES-JB
    11. 13784
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    Explanations

    phrases related to various topics or issues across different industries, ranging from education to healthcare, and from finance to construction

    oai_token-act-pair · gpt-3.5-turbo

    various academic and industry-related topics and issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    illard
    -0.78
    aughs
    -0.72
    onga
    -0.68
    ard
    -0.67
    Would
    -0.66
    iffs
    -0.65
    sts
    -0.64
    utton
    -0.60
    onel
    -0.60
    gets
    -0.59
    POSITIVE LOGITS
     ranging
    1.60
     such
    1.20
     like
    1.17
     including
    1.05
    ranging
    0.97
     spanning
    0.93
    such
    0.91
     related
    0.88
     relating
    0.87
     unrelated
    0.87
    Activations Density 0.305%

    No Known Activations