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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. 4411
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    INDEX
    Explanations

    locations or institutions named "Fort" followed by a single-word identifier

    oai_token-act-pair · gpt-3.5-turbo

    references to specific military locations or installations

    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
    Magikarp
    -0.71
    lihood
    -0.67
     subscribing
    -0.66
    Companies
    -0.65
    FREE
    -0.63
    soever
    -0.62
    Accessory
    -0.61
    âĶģ
    -0.60
    Publisher
    -0.59
    UGH
    -0.59
    POSITIVE LOGITS
    uitous
    1.38
    itude
    1.27
    ieth
    1.10
    dinand
    1.08
     Fort
    1.04
    resses
    1.02
     Lauderdale
    1.02
    oise
    0.97
    itud
    0.95
    isec
    0.88
    Activations Density 0.013%

    No Known Activations