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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. 9-RES-JB
    6. 22555
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    Explanations

    phrases related to large groups or populations of people

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating large populations or groups of individuals affected by various issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inventoryQuantity
    -0.78
    apego
    -0.69
    escription
    -0.67
     annexation
    -0.65
     Guru
    -0.63
    qus
    -0.59
    veyard
    -0.59
    ILA
    -0.58
    umping
    -0.57
    cknow
    -0.57
    POSITIVE LOGITS
     who
    1.06
     irrespective
    1.02
     alike
    0.99
     regardless
    0.96
     worldwide
    0.93
     whom
    0.91
     whose
    0.89
     besides
    0.87
     imaginable
    0.83
     nationwide
    0.81
    Activations Density 0.311%

    No Known Activations