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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. 4718
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    Explanations

    phrases related to research, analysis, and decision-making processes

    oai_token-act-pair · gpt-3.5-turbo

    detectable patterns related to data processing, analysis, and responses 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
     Boy
    -0.48
    OV
    -0.47
    BUG
    -0.47
    ASED
    -0.47
    OOOOOOOO
    -0.47
    guyen
    -0.46
     Libertarian
    -0.46
    Ott
    -0.46
     VID
    -0.46
    OWN
    -0.44
    POSITIVE LOGITS
    hips
    1.18
    paces
    1.10
    hip
    1.09
    pace
    1.03
    mith
    0.99
    hops
    0.99
    pring
    0.98
    ynthesis
    0.92
    ystem
    0.87
    heet
    0.85
    Activations Density 0.845%

    No Known Activations