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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. 20897
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    INDEX
    Explanations

    instances of phrases related to law enforcement and legal proceedings

    oai_token-act-pair · gpt-3.5-turbo

    keywords related to authority and reporting

    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
    BLIC
    -0.54
     EMS
    -0.54
    Param
    -0.53
    soType
    -0.51
     Fab
    -0.50
     Adren
    -0.50
     chars
    -0.49
     sed
    -0.49
     CAM
    -0.49
     Wond
    -0.49
    POSITIVE LOGITS
    èĢħ
    0.76
    esty
    0.67
     indeed
    0.65
    ebus
    0.64
     consisted
    0.59
    ãĥĺãĥ©
    0.59
    uality
    0.58
    icist
    0.57
     anyway
    0.57
    station
    0.57
    Activations Density 2.009%

    No Known Activations