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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. 6-RES-JB
    6. 24096
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    INDEX
    Explanations

    expressions describing large quantities or amounts

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "entire" used in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ju
    -0.76
    ker
    -0.67
    bid
    -0.67
    akers
    -0.66
     advoc
    -0.65
    aline
    -0.63
    ific
    -0.62
    KER
    -0.61
    acon
    -0.61
     Chaser
    -0.60
    POSITIVE LOGITS
    hearted
    0.85
    heartedly
    0.84
     length
    0.79
    ength
    0.76
     arsenal
    0.74
     gam
    0.74
     contents
    0.71
     spectrum
    0.71
    oven
    0.69
     suite
    0.68
    Activations Density 0.020%

    No Known Activations