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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. 10-RES-JB
    11. 1383
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    Explanations

    specific formatting styles in text, such as bullet points or section headers

    oai_token-act-pair · gpt-3.5-turbo

    terms related to research methodologies and scientific studies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     renting
    -0.74
     rent
    -0.73
     Chattanooga
    -0.69
     leasing
    -0.68
     Chuck
    -0.68
     outgoing
    -0.67
     swoop
    -0.67
     issuing
    -0.66
     snipp
    -0.66
     hires
    -0.65
    POSITIVE LOGITS
    Abstract
    1.54
    RESULTS
    1.44
    Methods
    1.43
    Introduction
    1.42
    METHOD
    1.22
    Acknowled
    1.21
    BACK
    1.21
    CONCLUS
    1.20
    âĵĺ
    1.19
    Previous
    1.18
    Activations Density 0.087%

    No Known Activations