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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. 7-RES-JB
    6. 19236
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    Explanations

    numerical sequences with hyphens

    oai_token-act-pair · gpt-3.5-turbo

    phrases that include a numerical count related to time

    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
     Borders
    -0.73
     Rica
    -0.71
     Kafka
    -0.69
     Richards
    -0.69
     Proc
    -0.68
     Lovecraft
    -0.68
     Lanka
    -0.67
     Ins
    -0.64
     Nero
    -0.64
     Gillespie
    -0.63
    POSITIVE LOGITS
    year
    1.38
    legged
    1.34
    quarters
    1.28
    month
    1.26
    thirds
    1.25
    fif
    1.25
    tailed
    1.19
    digit
    1.19
    dimensional
    1.19
    sided
    1.16
    Activations Density 0.055%

    No Known Activations