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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. 0-RES-JB
    11. 1508
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    Explanations

    numbers related to time or deadlines

    oai_token-act-pair · gpt-3.5-turbo

    numerical values, particularly years or timestamps

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    irens
    -0.75
    umbnails
    -0.67
    otypes
    -0.64
    uffer
    -0.62
     TD
    -0.62
    iculty
    -0.61
    resp
    -0.61
    ieri
    -0.61
     Bree
    -0.61
     âĨij
    -0.61
    POSITIVE LOGITS
    Iv
    0.79
    Russell
    0.77
    Ô
    0.72
    MIC
    0.71
    ETF
    0.68
    ixed
    0.67
    Ü
    0.66
    Moon
    0.66
    Nat
    0.65
    iris
    0.64
    Activations Density 0.000%

    No Known Activations