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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. 0-RES-JB
    11. 12376
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    Explanations

    terms related to legal matters, such as attorneys and legal proceedings

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "shadow" and its variations

    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
     belts
    -0.74
     belt
    -0.69
    âķ
    -0.67
     Esk
    -0.67
     passports
    -0.66
     codes
    -0.65
     Board
    -0.64
     delivery
    -0.64
     fitt
    -0.63
     pulp
    -0.62
    POSITIVE LOGITS
    adow
    4.70
    adows
    4.12
    andering
    1.29
    anmar
    1.14
    ilight
    1.01
    stakes
    1.01
    dden
    1.00
    azaki
    0.99
    amaru
    0.97
    shadow
    0.97
    Activations Density 0.034%

    No Known Activations