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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. 7-RES-JB
    11. 13660
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    Explanations

    references to specific periods of time, particularly years

    oai_token-act-pair · gpt-3.5-turbo

    references to chronological time, particularly years and days

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ":["
    -0.67
     CHR
    -0.66
    ersen
    -0.65
    ingu
    -0.65
     RELE
    -0.62
     Borders
    -0.62
    OTUS
    -0.59
    ACTED
    -0.58
    insula
    -0.57
    CHR
    -0.57
    POSITIVE LOGITS
    dream
    0.90
    ning
    0.87
    worms
    0.86
    book
    0.81
    table
    0.81
    time
    0.80
    wise
    0.80
    bug
    0.80
    books
    0.79
    long
    0.78
    Activations Density 0.127%

    No Known Activations