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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. 4163
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    Explanations

    terms related to minimalism

    oai_token-act-pair · gpt-3.5-turbo

    references to minimalism

    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
    lyn
    -0.73
    Report
    -0.72
    Sah
    -0.70
    ravings
    -0.67
    dor
    -0.65
    Phill
    -0.65
    uay
    -0.65
    Queen
    -0.65
    Gener
    -0.65
    RAFT
    -0.64
    POSITIVE LOGITS
    istic
    1.12
    istically
    0.99
    etheless
    0.99
     amount
    0.94
    ism
    0.89
    izes
    0.88
    ocre
    0.87
    isite
    0.86
     amounts
    0.84
     effort
    0.84
    Activations Density 0.015%

    No Known Activations