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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 5025
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    Explanations

    phrases related to activities or events happening for a specified duration of time

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the article "a."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Rules
    -0.82
    marks
    -0.80
    upon
    -0.72
    Cho
    -0.69
    Enjoy
    -0.69
    Att
    -0.68
    anism
    -0.68
    flows
    -0.68
    via
    -0.67
     Originally
    -0.67
    POSITIVE LOGITS
     sake
    1.26
     multitude
    0.99
     foreseeable
    0.97
     bunch
    0.92
     glimpse
    0.91
     hypothetical
    0.89
     variety
    0.89
     plethora
    0.88
     new
    0.87
     whopping
    0.86
    Activations Density 0.140%

    No Known Activations