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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 21546
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    Explanations

    the word 'te' or 'te' followed by a number

    oai_token-act-pair · gpt-3.5-turbo

    the word "te" in various contexts throughout the document

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    interrupted
    -0.73
    ipolar
    -0.68
    antha
    -0.66
    olicy
    -0.62
     sweep
    -0.62
    lessly
    -0.62
    usher
    -0.61
    rha
    -0.60
    OST
    -0.60
     allowances
    -0.60
    POSITIVE LOGITS
    brate
    1.54
    brates
    1.48
    ller
    1.20
    llers
    1.18
    levision
    1.18
    achers
    1.12
    llo
    1.09
    lla
    1.04
    achable
    1.04
    eve
    1.03
    Activations Density 0.033%

    No Known Activations