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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. 4-RES-JB
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    Explanations

    the word "risk."

    oai_token-act-pair · gpt-3.5-turbo

    special characters or unusual glyphs in the text

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

    No Comments

    Negative Logits
    mercial
    -0.88
    vironment
    -0.86
    hran
    -0.80
    merce
    -0.78
    ebus
    -0.78
    esis
    -0.77
    bourg
    -0.77
    onymous
    -0.76
    estine
    -0.76
    emouth
    -0.75
    POSITIVE LOGITS
    âķIJâķIJ
    1.23
    âķIJ
    1.15
    OUT
    1.00
    Ĺ
    0.99
    ा
    0.91
    Ķ
    0.91
    ļ
    0.91
    TER
    0.87
    ¸
    0.86
    ÃĽ
    0.86
    Activations Density 0.007%

    No Known Activations