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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. 21655
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    Explanations

    names, particularly with the pattern "-sen" at the end

    oai_token-act-pair · gpt-3.5-turbo

    the word "sen" followed by any other token

    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
     Pwr
    -0.73
     tolerance
    -0.73
     hitch
    -0.65
     heels
    -0.64
    tails
    -0.63
     casing
    -0.63
     chromosome
    -0.63
     Adin
    -0.62
     grounding
    -0.62
     anticipation
    -0.62
    POSITIVE LOGITS
    pai
    1.59
    iors
    1.13
    ior
    1.09
    iture
    1.05
    ault
    1.00
    vironment
    0.99
    egal
    0.98
    seless
    0.97
    ocide
    0.96
    escent
    0.96
    Activations Density 0.009%

    No Known Activations