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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 2952
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    INDEX
    Explanations

    phrases including the word "Tale."

    oai_token-act-pair · gpt-3.5-turbo

    references to specific narratives or stories

    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
    wm
    -0.98
    OWS
    -0.76
    essa
    -0.69
    Pl
    -0.69
    ipers
    -0.68
     Flores
    -0.67
    =#
    -0.66
     Shields
    -0.66
    pause
    -0.66
     ey
    -0.65
    POSITIVE LOGITS
     Tale
    2.56
    Associated
    1.96
     Jal
    1.55
     Hak
    1.49
     Jama
    1.42
     Tales
    1.19
     Travels
    0.94
     CCTV
    0.90
     Bam
    0.87
     Barber
    0.86
    Activations Density 0.049%

    No Known Activations