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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. 9-RES-JB
    6. 20994
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    INDEX
    Explanations

    proper nouns, such as names of people, places, and organizations

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating attribution or referencing sources

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anooga
    -0.80
    peat
    -0.74
     thereof
    -0.71
    SPONSORED
    -0.71
    opath
    -0.71
    opathic
    -0.67
    Weapon
    -0.66
    itized
    -0.65
    uity
    -0.64
    å¥
    -0.60
    POSITIVE LOGITS
     McDonnell
    0.75
     Airbus
    0.70
     Marshal
    0.70
     February
    0.69
     Daylight
    0.69
     Feb
    0.68
     Reps
    0.67
     March
    0.66
     Markus
    0.66
     Scrib
    0.65
    Activations Density 0.508%

    No Known Activations