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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. 5-RES-JB
    6. 11261
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    INDEX
    Explanations

    phrases related to consequences or impacts

    oai_token-act-pair · gpt-3.5-turbo

    the word "that" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Desk
    -0.70
    gur
    -0.68
    lander
    -0.66
    ron
    -0.65
    vre
    -0.65
    roth
    -0.65
    river
    -0.64
    ji
    -0.62
    ilet
    -0.61
    uty
    -0.61
    POSITIVE LOGITS
     accompanies
    0.84
     consumes
    0.83
     surrounds
    0.83
     spawned
    0.82
     caused
    0.80
     mattered
    0.79
     arose
    0.78
     preceded
    0.77
     cumbers
    0.74
     THEY
    0.73
    Activations Density 0.227%

    No Known Activations