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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. 1-RES-JB
    11. 2686
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    Explanations

    special characters and other non-standard text patterns

    oai_token-act-pair · gpt-3.5-turbo

    characters or symbols with specific non-standard encodings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    zees
    -0.80
    itudinal
    -0.77
    writers
    -0.73
    kers
    -0.71
     Courier
    -0.70
    engers
    -0.69
    frames
    -0.66
     bridges
    -0.65
     tension
    -0.64
     ATM
    -0.63
    POSITIVE LOGITS
    ij
    1.44
    女
    1.14
    cffff
    1.11
    entric
    1.08
    Ĺ
    1.07
    IJ
    1.04
    âĸijâĸij
    1.03
    ª
    1.02
    avorite
    1.02
    Ùĩ
    1.00
    Activations Density 0.002%

    No Known Activations