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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. 1-RES-JB
    6. 12973
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    INDEX
    Explanations

    occurrences of the word "no"

    oai_token-act-pair · gpt-3.5-turbo

    negative assertions

    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
    UC
    -0.62
     Sting
    -0.60
     Spy
    -0.58
     gentleman
    -0.58
     operative
    -0.58
    TextColor
    -0.56
     Himself
    -0.56
     Offic
    -0.55
     Judges
    -0.55
     Baal
    -0.54
    POSITIVE LOGITS
    ugu
    0.78
    externalActionCode
    0.74
    hetti
    0.74
    ickr
    0.71
    cffff
    0.71
     Compensation
    0.70
    rontal
    0.70
    sonian
    0.68
    iameter
    0.65
    ramid
    0.65
    Activations Density 0.000%

    No Known Activations