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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. 9-RES-JB
    11. 23494
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    INDEX
    Explanations

    dates or mentions of setting dates in a variety of contexts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of dates and premieres

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Flavoring
    -0.87
     shedding
    -0.72
    uggets
    -0.68
    ebted
    -0.68
    ossom
    -0.68
    ¬¼
    -0.67
    irit
    -0.66
    wear
    -0.64
    workshop
    -0.64
    eye
    -0.63
    POSITIVE LOGITS
     TBA
    1.21
     TBD
    1.05
     postponed
    1.02
     calendars
    0.99
     coincide
    0.91
     2019
    0.89
     dates
    0.87
     2021
    0.86
     Dates
    0.85
     specified
    0.84
    Activations Density 0.344%

    No Known Activations