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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. 11-RES-JB
    11. 9212
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    Explanations

    dates

    oai_token-act-pair · gpt-3.5-turbo

    dates and months from various years

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    jen
    -0.77
    natureconservancy
    -0.65
    minist
    -0.65
    EStream
    -0.62
    RD
    -0.61
     strugg
    -0.61
    76561
    -0.60
    yd
    -0.60
     corridors
    -0.60
     WC
    -0.57
    POSITIVE LOGITS
    âĶĢâĶĢâĶĢâĶĢ
    0.69
    bag
    0.68
     FANTASY
    0.67
    İĭ
    0.65
    ãģŁ
    0.65
     Leilan
    0.64
    ãģ¦
    0.64
     Percentage
    0.63
     Explicit
    0.62
     =================================================================
    0.61
    Activations Density 0.048%

    No Known Activations